Publications

Books

  1. L. Guan, Y, He and S.Y. Kung, eds, Multimedia Image and Video Processing, 2nd Edition, CRC Press, to be published in 2010.
  2. L. Guan, M. Kyan, and K. Jarrah, Unsupervised Learning via Self-Organization – A Dynamic Approach, IEEE Press/Wiley, to be published in 2010.
  3. L. Guan, K.H. Yap, S.W. Perry, H.S. Wong, Adaptive Image Processing: A Computational Intelligence Perspective, 2nd Edition, CRC Press.
  4. P. Muneesawang and L. Guan, Multimedia Database Retrieval: A Human Centered Approach, Springer, July 2006.
  5. S.W. Perry, H.S. Wong and L. Guan, Adaptive Image Processing: A Computational Intelligence Perspective, CRC Press, March 2002.
  6. L. Guan, S.Y. Kung and J. Larsen, eds, Multimedia Image and Video Processing, CRC Press, September 2000.

Book Chapters

  1. R. Zhang and L. Guan,“Bayesian Image Annotation and Retrieval,”in Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, IGI Global, to be published in 2010.
  2. Yifeng He and Ling Guan, “Peer-to-peer streaming systems”, in Intelligent Multimedia Communication: Techniques and Applications. Changwen Chen, Zhu Li, and Shiguo Lian (editors), Springer-Verlag Berlin Heidelberg, SCI 280, pp. 195–215, 2010.
  3. Y. Wang, M.W. Bhatti and L. Guan, “Neural networks for language independent emotion recognition in speech,” Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence, IGI Global, to be published in 2010.
  4. L. Guan, P. Muneesawang, J. Lay, T. Amin and I. Lee, “Human-centered computing for image and video retrieval,” in Intelligent Multimedia Processing with Soft Computing, Y.-P. Tan, K.H. Yap and L. Wang, eds., Springer-Verlag Heideberg, pp. 1-32, Oct 2004.
  5. J. Randall and L. Guan, ”Digital image processing,” in The Engineering Handbook, R. Dorf ed, IEEE Press/CRC Press, 2nd edition, pp. 141.1-10, Jul 2004.
  6. L. Guan, “Application of neural networks to the segmentation of microscopy images,” in Biocomputing, P.A. Laplante ed, pp. 1-16, Nova Science Publishers, Apr 2003.
  7. P. Muneesawang, H.S. Wong, J. Lay and L. Guan, “Learning and adaptive characterization of visual contents in image retrieval systems,” in Handbook on neural networks for signal processing, Y.H. Hu and J.-N. Hwang, eds, pp. 11.1-11.29, CRC Press, Nov 2001.
  8. L. Guan, S.Y. Kung and J.-N. Hwang, “Intelligent methods for multimedia image processing,” in Multimedia Image and Video Processing, L. Guan, S.Y. Kung and J. Larsen eds, CRC Press, pp. 131-174, Sep 2000.
  9. J. Lay and L. Guan, “Image retrieval based on energy histograms of the low frequency DCT coefficients.” in Multimedia Image and Video Processing, L. Guan, S.Y. Kung and J. Larsen eds, CRC Press, pp. 403-436, Sep 2000.
  10. H.S. Wong and L. Guan, “Synergy of computational intelligence for image restoration,” in New Frontiers in Computational Intelligence and Its Applications, M. Mohammadian ed, IOS Press, pp. 264-373, January 2000.
  11. L. Guan, “Multimedia Information Processing,” in Science & Technology – Advancing into the New Millennium, Sun et al eds, People’s Education Press of China, pp. 207-214, August 1999.
  12. L. Guan, “Real-time image regularization: a neural computing perspective to filtering, enhancement, and restoration,” in Real-Time Imaging: Theory, Techniques and Applications, P. Laplante, and A. Stoyenko ed., IEEE and IEEE/CS Press, pp. 59-82, 1996.

Articles in Peer Reviewed Periodicals

  1. Y. He and L. Guan, “Distributed optimization for wireless visual sensor networks,” IEEE Multimedia Communications Technical Committee E-Letter, vol. 4, no. 10, pp. 17-18, Nov 2009.
  2. Y. He, I. Lee and L. Guan, “Optimized video multicast in wireless ad hoc network using network coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 6, pp. 796-807, June 2009.
  3. Y. He, I. Lee and L. Guan, “Distributed algorithms for network lifetime maximization in wireless visual sensor networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol.19, no. 5, pp. 704-718, May 2009.
  4. Y. Tie and L. Guan, “Automatic face detection in video sequences using local normalization and optimal adaptive correlation techniques,” Pattern Recognition, vol. 42, no. 5, pp. 1859-1868, May 2009.
  5. Y. He, I. Lee and L. Guan, “Distributed throughput maximizationin P2P VoD systems,” IEEE Transactions on Multimedia, vol. 11, no. 3, pp. 509-522, April 2009.
  6. Y. He, G. Shen, Y. Xiong and L. Guan, “Optimal prefetching scheme in P2P VoD applications with guided seeks,” IEEE Transactions on Multimedia, vol. 11, no. 1, pp. 138-151, Jan. 2009.
  7. P. Muneesawang, T. Amin and L. Guan, “A new learning algorithms for the fusion of adaptive audio-visual features for the retrieval and classification of movie clips,” Journal of Signal Processing Systems for Signal, Image and Video Technology, DOI: 10.1007/s11265-008-0290-7 (12 pages), October 2008.
  8. Y. Wang and L. Guan, “Recognizing human emotional state from audiovisual signals,” IEEE Transactions on Multimedia, vol. 10, no. 5, pp. 936 – 946, August 2008.
  9. H. Lee, L. Guan and I. Lee, “Video analysis of human gait and posture to determine neurological disorders,” EURASIP J. on Image and Video Processing, 2008.
  10. K. Jarrah and L. Guan, “Learning in the CBIR context: Supervised, unsupervised and hybrid,” to appear in Int. Journal of Information Technology and Intelligent Computing.
  11. M.W. Bhatti, Y. Wang and L. Guan, “Human emotion recognition in speech using artificial neural networks,” to appear in The International Journal of Cognitive Informatics and Natural Intelligence.
  12. J. Randall, L. Guan, W. Li and X. Zhang, “The HCM for perceptual image segmentation,” NeuroComputing, April 2008.
  13. O. Bao, M. Lian and L. Guan, “Enhancement of dissolved scene change detection with twin windows amplification method,” Optical Engineering, vol. 46, no. 12, 127004 (11 pages), December 2007.
  14. T. Amin, M. Zeytinoglu and L. Guan, “Application of Laplacian mixture model for image and video retrieval,” IEEE Transactions on Multimedia, vol. 9, no, 7, pp. 1416-1429, November 2007.
  15. I. Lee and L. Guan, “Wireless video streaming over integrated 3G and WLAN networks,” Int. Journal of Wireless Mobil Communications, vol. 2, no. 4, pp. 314-323, October 2007.
  16. J. Lay, P. Muneesawang, T. Amin and L. Guan, “Assessing semantic relevance by using audiovisual cues,” Int. Journal of Information and Systems Sciences, vol. 3, no. 3, pp. 420-437, May 2007.
  17. Y. He, B. Stimpson, I. Lee, X. Gu, and L. Guan, “Adaptive peer-to-peer streaming over hybrid wireless networks,” Int. Journal of Intelligent Systems Technology and Applications, vol. 3, nos. 3/4, pp. 257─276, April 2007.
  18. X. Gu, L. Guan, Y. He, B.H. Zhang and P. Herman, “High-strength fiber bragg gratings for a temperature-sensing array,” IEEE Sensor Journal, vol. 6, no. 3, pp. 668-671, June 2006.
  19. M. Kyan, K. Jarrah, P. Muneesawang and L. Guan, “Self-organizing trees and forests: Strategies for unsupervised multimedia processing,” IEEE Computational Intelligence, vol. 1, no.2, pp. 27-40, May 2006.
  20. S.W. Perry, L. Guan and Pedram Varjavandi, “Incorporating local statistics in image error measurement for adaptive image restoration,” Optical Engineering, vol. 45, no. 3, 037001 (14 pages), March 2006.
  21. J. Lay and L. Guan, “Semantic retrieval multimedia retrieval by concept languages,” IEEE Signal Processing, vol. 23, no. 2, pp. 115-123, March 2006.
  22. P. Muneesawang and L. Guan, “Adaptive video indexing and automatic/semi-automatic relevance feedback,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 15, no. 8, pp. 1032-1046, August 2005.
  23. M. Kyan, L. Guan and S. Liss, “Refining competition in the self-organizing tree map for unsupervised biofilm image segmentation,” Neural Networks, vol. 18, no. 5/6, pp. 850-860, June/July 2005.
  24. I. Lee, P. Muneesawang and L. Guan, “Automatic relevance feedback for networked content-based image retrieval,” ICGST Int. Journal on Graphics, Vision and Image Processing, vol. 4, June 2005.
  25. H.S. Wong, H.H.S. Ip, L.P.L. Iu, K.K.T. Cheung, L. Guan, “Transformation of compressed domain features for content-based image indexing and retrieval,” Journal of Multimedia Tools and Applications, vol. 26, no. 1, pp. 5-26, May, 2005.
  26. L. Guan, H-S Wang, and J. Randall, “Neural networks with modular structures,” Differential Equations and Dynamical Systems, vol. 13, nos. 1/2, pp. 87-140, January/April 2005 (invited paper).
  27. P. Muneesawang and L. Guan, “An interactive approach for CBIR using a network of radial basis functions,” IEEE Trans. on Multimedia, vol. 6, no. 5, pp. 703-716, October 2004.
  28. J. Randall and L. Guan, “A hierarchical neural network model for perceptual image analysis”, Int. Journal of Fuzzy Systems, vol. 6, no. 3, pp. 139-149, Sept 2004 (invited paper).
  29. S.W. Perry and L. Guan, “A recurrent neural network for detecting objects in sequences of sector-scan sonar images,” IEEE Journal of Oceanic Engineering, vol. 29, no. 3, pp. 857-871, July 2004.
  30. J. Lay and L. Guan, “Retrieval for color artistry concepts,” IEEE Trans. on Image Processing, vol. 13, no. 3, pp. 326-339, March 2004.
  31. R.D. Green and L. Guan, “Quantifying and recognizing human movement patterns from monocular video images – Part I: A new framework for modeling human motion,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 179-190, February 2004 (2005 Transactions Best Paper Award).
  32. R.D. Green and L. Guan, “Quantifying and recognizing human movement patterns form monocular video images – Part II: Applications to biometrics,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 191-198, February 2004 (2005 Transactions Best Paper Award).
  33. S.W. Perry and L. Guan, “Pulse-length-tolerant features and detectors for sector scan imagery,” IEEE Journal of Oceanic Engineering, vol. 29, no. 1, pp. 138-156, January 2004.
  34. G. Sisodia, L. Guan and S. De, “Modeling and feedback control of MPEG-2 video traffic,” Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, vol. 34, no. 1-2, pp. 125-137, June 2003.
  35. K.H. Yap, L. Guan and W.Q. Liu, “A recursive soft-decision approach to blind image deconvolution,” IEEE Trans. on Signal Processing, vol. 51, no.2, pp. 515-526, Jan 2003.
  36. P. Muneesawang and L. Guan, “Automatic machine interactions for content-based image retrieval using a self-organizing tree map architecture,” IEEE Trans. on Neural Networks, vol. 13, no. 4, pp. 821-834, July 2002.
  37. L. Guan, “Application of neural networks to the segmentation of microscopy images,” Int. Journal of Computer Research, vol. 11, no. 4, pp. 405-418, April 2002.
  38. K.H. Yap and L. Guan, “A Computational Reinforced Learning Scheme to Blind Image Deconvolution,” IEEE Trans. on Evolutionary Computation, vol. 6., no. 1, pp. 2-15, February 2002.
  39. M.J. Kyan, L. Guan, M. Arnison and C. Cogswell, “Feature extraction of chromosomes from 3-D confocal microscope images,” IEEE Trans. on Biomedical Engineering, vol. 48, no. 11, pp. 1306-1318, November 2001.
  40. M. Wu, R.A. Joyce, H.S. Wong, L. Guan and S.Y. Kung, “Dynamic resource allocation via video content and short-term traffic statistics,” IEEE Trans. on Multimedia, vol. 3, no. 2, pp. 186-199, June 2001.
  41. H.S. Wong and L. Guan, “A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture,” IEEE Trans. on Neural Networks, vol. 12, no. 3, pp. 516-531, May, 2001.
  42. H.S. Wong and L. Guan, “Application of evolutionary programming to adaptive regularization in image restoration,” IEEE Trans. on Evolutionary Computation, pp. 309-326, vol. 4, no. 4, October 2000.
  43. K.H. Yap and L. Guan, “Adaptive image restoration based on Hierarchical Neural Networks,” Optical Engineering, vol. 39, no. 7, pp. 1877-1890, July 2000.
  44. G. Sisodia, L. Guan, S. De and M. Hedley, “A new modeling approach for H.263+ VBR coded video sources in ATM networks,” Journal of Real-time Imaging, vol. 6, no. 5, pp. 347-357, November 2000.
  45. H.S. Wong, T.M. Caelli and L. Guan, “A model-based neural network for edge characterization,” Pattern Recognition, vol. 33, no. 3, pp. 427-444, March 2000.
  46. S.Y. Yu and L. Guan, “A CAD system for the automatic detection of clustered micro-calcifications in digitized mammogram films,” IEEE Trans. on Medical Imaging, vol. 19, no. 2, pp. 115-126, February 2000.
  47. R. Chang, L. Guan and J.A. Burne, “An Automated Form of Video Image Analysis Applied to Classification of Movement Disorders,” Journal of Disability and Rehabilitation, vol. 22, no. 1/2, 2000, pp. 97-108, January/February 2000.
  48. S.W. Perry and L. Guan, “Weight assignment of neural networks in adaptive image restoration,” IEEE Trans. on Neural Networks, vol. 11, no. 1, pp. 156-170, January 2000.
  49. R. Green, L. Guan and J.A. Burne, “Video analysis of gait for diagnosing movement disorders,” Journal of Electronic Imaging, vol. 9, no. 1, pp. 16-21, January 2000.
  50. T. Caelli, L. Guan and W. Wen, “Modularity in neural computing,” Proc. of the IEEE, vol. 87, no. 9, pp. 1497-1518, September 1999.
  51. T. Tan, L. Guan and J.A. Burne, “A Real-Time Image Analysis System for Computer Assisted Diagnosis of Neurological Disorders,” Journal of Real-time Imaging, vol. 5, no. 4, pp. 253-269, August 1999.
  52. S.Y. Yu, L. Guan and S. Brown, “Automatic detection of clustered microcalcifications in digitized mammogram films,” Journal of Electronic Imaging, vol. 8, no. 1, pp. 76-82, January 1999.
  53. A.C.C. Cheng and L. Guan, “A Combined Evolution Method for Associative Memory Networks,” Neural Networks, vol. 11, no. 5, pp. 785 – 792, August 1998.
  54. L. Guan and H. Kong, “An efficient algorithm for impulse noise removal in cable TV transmission,” Journal of Real-time Imaging, vol. 4, no. 2, pp. 113-124, April 1998.
  55. H. Kong and L. Guan, “A Noise-exclusive adaptive filtering for removing impulse noise in digital images,” IEEE Trans. on Circuits and Systems II, vol. 45, no. 3, pp. 422-428, March, 1998.
  56. H. Kong and L. Guan, “Self-organizing tree map for eliminating impulse noise with random intensity distributions,” Journal  of Electronic Imaging, vol. 6, no. 1, pp. 36-44, January 1998.
  57. H.S. Wong and L. Guan, “Adaptive regularization in image restoration using unsupervised learning,” Journal of Electronic Imaging, vol. 6, no. 1, pp. 211-221, January 1998.
  58. P.T.A. Nguyen, R. Romagnoli, P. Fekete, M.R. Arnison, L. Guan and C. Cogswell, “A self organizing map for extracting features of chromosomes in microscopy images,” Australian Journal of Intelligent Information Systems, vol. 5, no. 1, pp. 34-38, 1998.
  59. L. Guan and S.-Y. Kung, “Model-based neural networks in image processing,” in The Past, Present, and Future of Neural Networks for Signal Processing, J.-N. Hwang et al eds, IEEE Signal Processing, vol. 14, no. 6, pp. 35-36, 1997.
  60. H.S. Wong and L. Guan,“Adaptive regularization in image restoration using a model-based neural networks,” Optical Engineering, vol. 36, no. 12, pp. 3297-3308, December 1997.
  61. L. Guan, “Full Custom Texture measurement and its application in multiresolution video coding,” Optical Engineering, vol. 36, no. 4, pp. 1053-1058, April 1997.
  62. L. Guan, J. Anderson and J. Sutton, “A network of networks model for image regularization,” IEEE Trans. on Neural Networks, vol. 8, no. 1, pp. 169-174, January 1997.
  63. L. Guan, S.W. Perry and E. Wong, “Adaptive scaled mean square error filtering by neural networks,” Journal of Electronic Imaging, vol. 5, no. 4, pp. 460-465, October 1996.
  64. S.W. Perry and L. Guan, “A partitioned modified Hopfield neural network algorithm for real-time image restoration,” Journal of Real-time Imaging, vol. 2, no. 4, pp. 215-224, August 1996.
  65. L. Guan, “An optimal neuron evolution algorithm for constrained quadratic programming in image restoration,” IEEE Trans. on Systems, Man, and Cybernetics Part: A, vol. 26, no. 4, 513-518, July 1996.
  66. H. Kong and L. Guan, “A neural network adaptive filter for the removal of impulse noise in digital images,” Neural Networks, vol. 9, no. 3, pp. 373-378, 1996.
  67. L. Guan, “Model-based neural evaluation and iterative gradient optimization in image restoration and statistical filtering,” Journal of Electronic Imaging, vol. 4, pp. 407-412, October 1995.
  68. S.W. Perry and L. Guan, “Neural network algorithm for the restoration of images suffering space-variant distortion,” Electronics Letters, vol. 31, pp. 1358-1359, 1995.
  69. D. Wu and L. Guan, “A distributed real-time image processing system,” Journal of Real-time Imaging, vol. 1, pp. 427-436, 1995.
  70. L. Guan and X.L. Zhou, “Image filtering by a scaled mean square-error filter using a vector processing algorithm,” Electronic Letters, vol. 31, pp. 443-444, 1995.
  71. L. Guan, “Image restoration by a neural network with hierarchical cluster architecture,” Journal of Electronic Imaging, vol. 3, pp. 154-163, 1994.
  72. L. Guan and R.K. Ward, “Restoration of randomly blurred images via the maximum a posteriori criterion,” IEEE Trans. on Image Processing, vol. 1, no. 2, pp. 256-262, April 1992.
  73. L. Guan and R.K. Ward, “Restoration of stochastically blurred images by the geometrical mean filter,” Optical Engineering, vol. 29, pp. 289-295, 1990.
  74. L. Guan and R.K. Ward, “Restoration of randomly blurred images by the Wiener filter,” IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. 37, no. 4, pp. 589-592, April 1989.
  75. L. Guan and R.K. Ward, “Deblurring random time-varying blur,” Journal of the Optical Society of America, vol. 6, pp. 1727-1737, 1989.

Presentations at Invited/Special Sessions

  1. P. Muneesawang and L. Guan, “SVM-based decision fusion model for detecting concepts in films,” Proc. The Sixth Int. Conf on Information, Communications and Signal Processing, We3.1, Singapore, Dec 2007.
  2. Y. He, I. Lee, and L. Guan, “Network lifetime maximization in wireless visual sensor networks using a distributed algorithm,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 2174-2177, Beijing, China, July 2007.
  3. L. Guan, “Self-Organizing trees and forests: A powerful tool in pattern clustering and recognition, Proc. Int. Conf. on Image Analysis and Recognition, pp. 1-16, Proto, Portugal, September, 2006 (Plenary Speech Paper).
  4. I. Lee, Y. He and L. Guan, “Centralized P2P streaming with MDC,” Proc. IEEE Workshop on Multimedia Signal Processing, Shanghai, China, 2005.
  5. J. Lay and L. Guan, “Concept-based retrieval of color artistic documents,” Proc. IEEE Pacific-Rim Conf. on Multimedia, vol. II, pp. 898-906, Tokyo, Japan, 2004.
  6. R. Green and L. Guan, “Biometric Modeling and Recognition of Human Actions,” Proc. Int. Conf. on Control, Automation, Robotics, and Computer Vision, Kunming, China, 2004.
  7. L. Guan, J. Lay and P. Muneesawang, “Indexing and retrieval of multimedia data: From content-based to concept-based,” Proc. 22nd Biennial Symposium on Communications, pp. 198-200, Kingston, Canada, May 2004.
  8. L. Guan, P. Muneesawang, J. Lay, I. Lee and T. Amin, “Human-centered computing for image/video indexing and retrieval,” Proc. Int. Conf. on Distributed Multimedia Systems, pp. 375-380, Miami, USA, 2003.
  9. S.W. Perry and L. Guan, “A Pulse Length Tolerant Neural Network-Based Detector for Sector-Scan Sonar,” presented Acoustical Society of America Meeting, Cancun, Mexico, 2002.
  10. K. Yap and L. Guan, “Image processing by computational intelligence,” Proc. Int. Conf. on Control, Automation, Robotics, and Computer Vision, Singapore, pp. 34-38, 2002.
  11. J. Randall and L. Guan, “The self-organizing tree map for color image segmentation,” Proc. Int. Symp. on Intelligent Signal Processing and Communications Systems, pp. 403-407, Nashville, USA, 2001.
  12. J. Lay, P. Muneesawang and L. Guan, “Multimedia Information Retrieval,” Proc. Canadian Conference on Electrical and Computer Engineering, Toronto, Canada, 2001.
  13. P. Muneesawang, J. Lay and L. Guan, “An interactive approach using non-linear RBF for content-based image retrieval of the JPEG database,” Proc. First IEEE Pacific-Rim Conference on Multimedia, pp. 346-349, Sydney, Australia, 2000.
  14. H.S. Wong and L. Guan, “Characterization of perceptual importance for object-based image segmentation,” Proc. IEEE Int. Conf. on Image Processing, vol. 3, pp. 54-57, Vancouver, Canada, 2000.
  15. J. Randall, L. Guan, X. Zhang and W. Li, “Self-organizing tree map”, Proc. Int. Conf. on Neural Information Processing, pp. 724-728, Perth, Australia, 1999.
  16. L Guan, S. Perry, R. Romagnoli, H.S Wong and H.S. Kong, “Neural vision system and applications in image processing and analysis,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. II, pp. 1245-1248, Seattle, USA, 1998.
  17. L. Guan, J. Anderson and J. Sutton, “Biologically motivated neural computing in early vision processing,” Proc. IEEE Int. Conf. on Systems, Men, and Cybernetics, pp. 1138- 1143, Beijing, China, 1996.
  18. S.Y. Yu, Y. Xue, L. Guan and S. Brown, “Enhancement and identification of microcalcifications in mammogram images using wavelets,” Proc. IEEE Int. Conf. on Systems, Men, and Cybernetics, pp. 1166-1171, Beijing, China, 1996.
  19. H.S. Wong and L. Guan, “A study of adaptive regularization in image regularization,” Proc. Int. Conf. on Control, Automation, Robotics, and Computer Vision, pp. 665-669, Singapore, 1996.
  20. S.W. Perry and L. Guan, “Image restoration using a neural network with an adaptive constraint factor,” Proc. IMACS Conference on Computational Engineering in Systems Applications, pp. 854-859, Lille, France, 1996.
  21. H.S. Wong, L. Guan and H. Kong, “Compression of mammogram images by a context-based approach,” Proc. IEEE Int. Conf. on Image Processing, vol. 2, pp. 21-24, Washington D.C. USA, 1995.
  22. L. Guan and J. Tang, “A texture analysis framework and its applications in video coding,” Proc. IEEE Int. Conf. on Systems, Men, and Cybernetics, pp. 3487-3491, Vancouver, Canada, 1995.
  23. L Guan, “A survey of the theory and applications of wavelets,” Proc. Int. Conf. on Neural Networks and Signal Processing, pp. 1031-1034, Nanjing, China, 1995.
  24. L. Guan and S.W. Perry, “A new partitioning scheme for image restoration using network of neural networks,” Proc. 2nd Int. Conf. on Neural Networks and Signal Processing, pp. 1338-1341, Nanjing, China, 1995.
  25. L. Guan and X. Zhou, “Real-time model-based image processing: from optimal neuron evaluation to vectorized quadratic programming,” Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 694-699, San Antonio, USA, 1994.
  26. L. Guan, “A unified neural framework for early visual information processing,” Proc. IEEE Int. Conf. on Systems, Men, and Cybernetics, pp. 327-332, Le Touquet, France, 1993.
  27. R.K. Ward and L. Guan, “Restoration of images blurred by time-varying random blur: the case of time-space separable noise correlation,” Proc. Canadian Conf. on Electrical and Computer Engineering, pp. 20-23, Montreal, Canada, 1989.

Papers in Conference Proceedings

  1. L. Li, N. Zhang, L Duan, Q. Huang, J.Du, and L. Guan, “Automatic sports genre categorization and view-type classification over large-scale dataset” ACM Conf. on Multimedia, pp. 653-656, Beijing, China, October 2009.
  2. K. Jarrah and L. Guan, “Content-based image retrieval via distributed databases,” ACM Conf. on Image and Video Retrieval, Niagara Falls, Canada, July 2008.
  3. L. Ye, Q. Zhang and L. Guan “Use hierarchical genetic particle filter to figure articulated human tracking,” IEEE Int. Conf. on Multimedia and Expo, Hanover, Germany, June 2008.
  4. Y. He, G. Shen, Y. Xiong and L. Guan, “Probabilistic prefetching scheme for P2P VoD applications with frequent seeks,” IEEE Int. Symp. on Circuits and Systems, Seattle, USA, May 2008.
  5. C.-H. Wang and L. Guan, “Graph cut video object segmentation using histogram of oriented gradients,” IEEE Int. Symp. on Circuits and Systems, Seattle, USA, May 2008.
  6. T. Kuganeswaran, X. Fernando and L. Guan, “Distributed video coding and transmission over wireless fading channel,” Prof. IEEE Canadian Conf. on Electrical and Computer Engineering, (paper 001) pp. 513-516, Niagara Falls, Canada, May 2008.
  7. A. Bulzacki, L. Zhao, L. Guan and K. Raahemifar, “Computerized recognition of human gestures,” Prof. IEEE Canadian Conf. on Electrical and Computer Engineering, pp. 1003-1006, Niagara Falls, Canada, May 2008.
  8. Y. He, I. Lee and L. Guan, “Distributed throughput maximization in hybrid-forwarding P2P VoD applications,,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 2165-2168, Las Vegas, USA, April, 2008.
  9. Y. He, I. Lee and L. Guan, “Optimized video multicasting over wireless ad hoc networks using distributed algorithm,” Proc. Pacific-Rim Conference on Multimedia, pp. 296-305, Hong Kong, Dec 2007 (Best Paper Award).
  10. N. Zhang and L. Guan, “Graph cuts in content-based image classification and retrieval with relevance feedback,” Proc. Pacific-Rim Conference on Multimedia, pp. 30-39, Hong Kong, Dec 2007.
  11. A. Bulzacki, L. Guan and L. Zhao, “An introduction to gesture recognition through conversion to a vector based medium,” Proc. Asia-Pacific Workshop on Visual Information Processing, pp. 83-88, Tainan, Taiwan, Dec 2007.
  12. R. Zhang, X.P. Zhang and L. Guan, “Wavelet-based texture retrieval using independent component analysis,” Proc. IEEE Int. Conf. on Image Processing, vol. 6, pp. 341-344, San Antonio, UAS, Sep 2007.
  13. Y. He, I. Lee, and L. Guan, “Distributed rate allocation in p2p streaming,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 388-391, Beijing, China, July 2007.
  14. C.-H. Wang, X. Fan, B. Elder, X. Tang and L. Guan, “Special effects in film making with object based transformations,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 1519-1522, Beijing, China, July 2007.
  15. Y. He, I. Lee and L. Guan, “Optimized multi-path routing using dual decomposition for wireless video streaming,” Proc. IEEE Int. Symposium on Circuits and Systems, pp. 977-980, New Orleans, USA, May 2007.
  16. N. Joshi and L. Guan, “Combination of recognizers and fusion of features approach to missing data ASR under non-stationary noise conditions,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. IV, pp. 1041-1044, Honolulu, USA, April 2007.
  17. K. Jarrah and L. Guan, “Human-controlled vs. semi-automatic content-based image retrieval,” Proc. the First IEEE Symposium on Computational Intelligence image and Signal Processing, pp. 275-280, Honolulu, USA, April 2007.
  18. N. Joshi and L. Guan, “Missing data ASR with fusion of features and combination of recognizers,” Proc. IEEE/ACL Workshop on Spoken Language Technology, pp.114-117, Palm Beach, Aruba, December 2006.
  19. M. Kyan and L. Guan, “Local variance driven self-organization for unsupervised clustering,” Proc. Int. Conf. on Pattern Recognition, vol. 3, pp. 421 – 424, Hong Kong, August, 2006.
  20. Y. He, I. Lee and L. Guan, “Sustream allocation in layered P2P streaming,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 1505-1508, Toronto, July 9-12, 2006.
  21. C.-H. Wang, Y. Wang, M. Lian, B. Elder, X. Tang and L. Guan, “Special effects in film/video making: A new media initiative project,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 1049-1052, Toronto, July 9-12, 2006.
  22. K. Jarrah, M. Kyan, S. Krishnan and L. Guan, “Computational intelligence techniques and their applicatins in content-based image retrieval,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 33-36, Toronto, July 9-12, 2006.
  23. M. Kyan and L. Guan, “The self-organising hierarchical variance map,” Proc. International Joint Conference on Neural Networks, pp. 3767 – 3774, Vancouver, July 15-20, 2006.
  24. K. Jarrah, S. Krishnan and L. Guan, “Automatic content-based image retrieval using hierarchical clustering algorithms”, Proc. International Joint Conference on Neural Networks, pp. 3532 – 3537, Vancouver, July 15-20, 2006.
  25. M. Du and L. Guan, “Monocular human motion tracking with the DE-MC particle filter,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. II, pp. 205-208, Toulouse, France, May 14-19, 2006.
  26. K. Jarrah, I. Lee, M. Kyan and L. Guan, “Application of image visual characterization and soft feature,” Proc. IS&T/SPIE Symposium on Electronic Imaging, San Jose, USA, Jan 17-21, 2006.
  27. Y. Li, M. Kyan and L. Guan, “Improving shape-based CBIR for natural image content using a modified GFD,” Proc. Int. Conf. on Image Analysis and Recognition, pp. 593-600, Toronto, Canada, September, 2005.
  28. M. Kyan, S. Liss and L. Guan, “Dynamic feature fusion in the self organising tree map -applied to the segmentation of biofilm images,” Proc. IEEE Int. Joint Conf. on Neural Networks, pp. 2441-2446, Montreal, Canada, July-August, 2005 (High Merit Paper Selection).
  29. P. Muneesawang and L. Guan, “Using knowledge of the region of interest (ROI) in automatic image retrieval learning,” Proc. IEEE Int. Joint Conf. on Neural Networks, pp. 1854-1859, Montreal, Canada, July-August, 2005.
  30. I. Lee and L. Guan, “Reliable Video Communication with Multi-Path Streaming using MDC,” Proc. IEEE Int. Conf. on Multimedia and Expo, Amsterdam, the Netherlands, July, 2005.
  31. Y. He, I. Lee, X. Gu and L. Guan, “Centralized peer-to-peer video streaming over hybrid wireless network,” Proc. IEEE Int. Conf. on Multimedia and Expo, Amsterdam, the Netherlands, July, 2005.
  32. M. Du and L. Guan, “Multi-information fusion for human motion tracking by particle filter,” Proc. Visual Communications and Image Processing, pp. 149 – 160, Beijing, China, July 2005.
  33. Y. Wang and L. Guan, “Recognizing human emotion from audiovisual information,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. II, pp. 1125-1128, Philadelphia, USA, March 2005.
  34. S. Quadri, S. Krishnan and L. Guan, “Indexing of NFL video using MPEG-7 descriptors and MFCC features,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. II, pp. 429-432, Philadelphia, USA, March 2005.
  35. M. Du and L. Guan, “Human recognition by body shape features under surveillance environment,” Proc. IS&T/SPIE Symposium on Electronic Imaging, pp. 535-545, San Jose, USA, January 16-20, 2005.
  36. I. Lee and L. Guan, “Centralized peer-to-peer streaming with PFGS video codec,” Proc. IEEE Pacific-Rim Conf. on Multimedia, vol. I, pp. 131-138, Tokyo, Japan, December 2004.
  37. P. Muneesawang and L. Guan, “Audio visual cues for video indexing and retrieval,” Proc. IEEE Pacific-Rim Conf. on Multimedia, vol. I, pp. 642-649, Tokyo, Japan, December 2004.
  38. Y. Wang and L. Guan, “An investigation of speech-based human emotion recognition,” Proc. IEEE Workshop on Multimedia Signal Processing, pp. 15-18, Sienna, Italy, Sept 2004.
  39. I. Lee and L. Guan, “Semi-automated relevance feedback for distributed content based image retrieval,” Proc. IEEE Int. Conf. on Multimedia and Expo, Taipei, Taiwan, June 2004.
  40. P. Muneesawang and L. Guan, “iARM: An interactive video retrieval system,” Proc. IEEE Int. Conf. on Multimedia and Expo, Taipei, Taiwan, June 2004.
  41. T. Amin, M. Zeytinoglu, L. Guan and Q. Zhang, “Interactive video retrieval using embedded audio content,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. III.449-452, Montreal, Canada, May 2004.
  42. T. Amin and L. Guan, “Interactive content-based image retrieval using Laplacian mixture model in wavelet domain,” Proc. IEEE Int. Symposium on Circuits and Systems, pp. II.45-48, Vancouver, Canada, May 2004.
  43. M.W. Bhatti, Y. Wang and L. Guan, “A Neural network approach for human emotion recognition in speech,” Proc. IEEE Int. Symposium on Circuits and Systems, pp. II.181-184, Vancouver, Canada, May 2004.
  44. I. Lee and L. Guan, “Content-based image retrieval with automated relevance feedback over distributed peer-to-peer network,” Proc. IEEE Int. Symposium on Circuits and Systems, pp. II.5-8, Vancouver, Canada, May 2004.
  45. C. Huang and L. Guan, “A new rate adaptation approach for MPEG-4 video streaming over IP,” Proc. IEEE Canadian Conf. on Electrical and Computer Engineering, vol. 3, pp. 1563-1566m Niagara Falls, Canada, May 2004.
  46. S.W. Perry, P. Varjavandi and L. Guan, “Adaptive image restoration using a perception based error measurement,” Proc. IEEE Canadian Conf. on Electrical and Computer Engineering, vol. 3, pp. 1585-1588, Niagara Falls, Canada, May 2004.
  47. K. Jarrah, P. Muneesawang, I. Lee and L. Guan, “Minimizing human-machine interactions in automatic image retrieval,” Proc. IEEE Canadian Conf. on Electrical and Computer Engineering, vol. 3, pp. 1589-1592, Niagara Falls, Canada, May 2004.
  48. J. Lay and L. Guan, “Concept-based retrieval of art documents,” Proc. Int. Conf. on Image and Video Retrieval, pp. 383-393, Urbana-Champaign, USA, July 2003.
  49. P. Muneesawang and L. Guan, “Image retrieval with embedded sub-class information using Gaussian mixture models,” Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 769-772, Baltimore, USA, July 2003.
  50. I. Lee and L. Guan, “Centralized peer-to-peer streaming with layered video,” Proc. IEEE Int. Conf. on Multimedia and Expo, Baltimore, pp. 513-516, USA, July 2003.
  51. H. Yuan and X.-P. Zhang and L. Guan, “Content-based image retrieval using a Gaussian mixture model in the wavelet domain,” Proc. SPIE 5150, Video Communications and Image Processing, pp. 422-429, June 2003.
  52. J. Lay and L. Guan, “Using color concepts in the retrieval of color artistry,” Proc. IEEE Canadian Conference on Electrical and Computer Engineering, Montreal, Canada, May 2003.
  53. J. Li, J. Randall and L. Guan, “Perceptual image processing for digital edge linking,” Proc. IEEE Canadian Conference on Electrical and Computer Engineering, Montreal, Canada, May 2003.
  54. H. Yuan, X. Zhang and L. Guan, “Content-based image retrieval using a Gaussian mixture model in the wavelet domain,” Proc. IEEE Canadian Conference on Electrical and Computer Engineering, Montreal, Canada, May 2003.
  55. R. Green and L. Guan, “Tracking human movement patterns using particle filtering,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 3, III.25-28, Hong Kong, April 2003.
  56. P. Muneesawang and L. Guan, “Automatic relevance feedback for video retrieval,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 3, III.1-4, Hong Kong, April 2003.
  57. P. Muneesawang and L. Guan, “Video retrieval using an adaptive video indexing technique and automatic relevance feedback,” Proc. IEEE Workshop on Multimedia Signal Processing, pp. 220-223, St. Thomas, US Virgin Islands, December, 2002.
  58. I. Lee and L. Guan, “Inter-subband redundancy prediction using neural networks for video coding,” Proc. IEEE Pacific-Rim Conference on Multimedia, pp. 518-525, Taiwan, December 2002.
  59. I. Lee and L. Guan, “A Scalable video codec design for streaming over distributed peer-to-peer network,” Proc. IEEE Globe Telecommunications Conf., pp. 539-543, Taiwan, November 2002.
  60. K.H. Yap and L. Guan, “An adaptive contextual Hebbian detector for blind multiuser detection,” Proc. Int. Conf. on Neural Information Processing, vol. 4, pp. 2185-2189, Singapore, November 2002.
  61. P. Muneesawang and L. Guan, “Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval,” Proc. IEEE Int. Conf. on Image Processing, vol. II, pp. 601-604, Rochester, USA September 2002.
  62. O. Bao and L. Guan, “Scene change detection using DCT coefficients,” Proc. IEEE Int. Conf. on Image Processing, vol. II, pp. 421-424, Rochester, USA, September 2002.
  63. T.H. Lai and L. Guan, “Video coding algorithm using 3-D DCT and vector quantization,” Proc. IEEE Int. Conf. on Image Processing, vol. I, pp. 741-744, Rochester, USA, September 2002.
  64. J. Randall, L. Guan, W. Li and X. Zhang, “The hierarchical cluster model for image region segmentation,” Proc. IEEE Int. Conf. on Multimedia and Expo, vol. 1, pp. 693-696, Lausanne, Switzerland, August 2002.
  65. J. Lay and L. Guan, “Approximating color consistency in retrieval Using energy histogram of DCT coefficients,” Proc. IEEE Int. Conf. on Multimedia and Expo, vol. 1, pp. 669-672, Lausanne, Switzerland, August 2002.
  66. H. Kong, L. Guan and S.-Y. Kung, “A self-organizing tree map approach for image segmentation,” Proc. Int. Conf. on Signal Processing, pp. 589-591, Beijing, China, August 2002.
  67. H. Kong, L. Guan and S.-Y. Kung, “An efficient codebook design method of vector quantizer via using self-organizing tree map,” Proc. World Multiconference on Systems, Cybernetics and Informatics, Orlando, USA, July, 2002.
  68. J. Randall, L. Guan, W. Li and X. Zhang, “Hierarchical cluster model for perceptual image processing,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 1, pp. 1014-1017, Orlando, USA, 2002.
  69. T. Chan and L. Guan, “Classification of images as a pre-processing step for image retrieval,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Orlando, vol. 4, pp. 3648-3651, USA, 2002.
  70. S.W. Perry and L. Guan, “Detection of small man-made objects in sector scan imagery using neural networks,” Proc. IEEE Int. Conf. on Oceanic Engineering, vol. 4, pp. 2108-2114, Honolulu, USA, 2001.
  71. S.W. Perry and L. Guan, “Detection of small man-made objects in multiple range sector scan imagery using neural networks,” Proc.  CADCAC, Halifax, Canada, 2001.
  72. K.H. Yap, L. Guan and J. Evans, “Blind adaptive detection for CDMA systems based on regularized independent component analysis,” Proc. IEEE Globecom 2001 Conference, pp. 249-253, San Antonio, Texas, USA, 2001.
  73. P. Muneesawang and L. Guan, “Automatic retrieval of texture images via unsupervised learning,” Proc. IEEE Workshop on Multimedia Signal Processing, pp. 257-262, Cannes, France, October 2001.
  74. P. Muneesawang and L. Guan, “Automatic similarity learning using SOTM for CBIR of the WT/VQ coded images,” Proc. IEEE Int. Conf. on Image Processing, vol. 2, pp. 749-752, Greece, October 2001.
  75. P. Muneesawang and L. Guan, “Interactive CBIR using RBF-based relevance feedback for WT/VQ coded images,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 3, pp. 1641-1644, Salt Lake City, USA, May 2001.
  76. K.H. Yap and L. Guan, “An attractor space approach to blind image deconvolution,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 3, pp. 1833-1836, Salt Lake City, USA, May 2001.
  77. H.S. Wong, M. Wu, R. Joyce, L. Guan and S.Y. Kung, “A neural network approach for predicting network resource requirement in video transmission systems,” Proc. First IEEE Pacific-Rim Conference on Multimedia, pp. 116-119, Sydney, Australia, December 2000.
  78. P. Muneesawang and L. Guan, “A non-linear RBF for adaptive content-based image retrieval,” Proc. First IEEE Pacific-Rim Conference on Multimedia, pp. 188-191, Sydney, Australia, December 2000 (Best Student Paper Award).
  79. M.W. Bhatti and Ling Guan, “Recognizing human emotion in speech,” Proc. First IEEE Pacific-Rim Conference on Multimedia, pp. 306-309, Sydney, Australia, December 2000.
  80. K.H. Yap and L. Guan, “A recursive approach to joint image restoration and compensated blur identification,” Proc. IEEE Workshop on Neural Networks for Signal Processing, pp. 567-575, Sydney, Australia, December 2000.
  81. P. Muneesawang and L. Guan, “Multiresolution-histogram indexing for wavelet-compressed images and relevance feedback learning for image retrieval,” Proc. IEEE Int. Conf. on Image Processing, vol. 2, pp. 526-529, Vancouver, Canada, September 2000.
  82. K.H. Yap and L. Guan, “A Recursive Soft-Decision PSF and Neural Network Approach to Adaptive Blind Image Regularization,” Proc. IEEE Int. Conf. on Image Processing, vol. 3, pp. 813-816, Vancouver, Canada, September 2000.
  83. H. Lee and L. Guan, “Human gait and posture analysis for diagnosing neurological disorders,” Proc. IEEE Int. Conf. on Image Processing, vol. 2, pp. 435-438, Vancouver, Canada, September 2000.
  84. J. Lay and L. Guan, “Solo: an MPEG-7 optimum search tool,” Proc. IEEE Int. Conf. on Multimedia and Expo, New York City, July 2000.
  85. G. Sisodia, L. Guan and S. De, “Explicit rate congestion control of MPEG-2 coded video traffic in ATM networks,” Proc. IEEE Int. Conf. on Multimedia and Expo, New York City, July 2000.
  86. J. Lay and L. Guan, “On the searching of a MPEG-7 enabled search engine,” Proc. SPIE Electronic Imaging 2000, San Jose, USA, January 2000.
  87. J. Lay, O. Bao and L. Guan, “Compressed-domain video parsing using energy histograms of the lower frequency DCT coefficients,” Proc. SPIE Electronic Imaging 2000, San Jose, USA, January 2000.
  88. J. Lay and L. Guan, “Processing models for distributed content based retrieval systems,” Proc. DICTA-99, pp. 218-221, Perth, Australia, December 1999.
  89. Y. Wen, L. Guan and S. Yu, “Automatic detection of clustered microcalcifications in digitized mammographic films,” Proc. DICTA-99, pp. 68-72, Perth, Australia, December 1999.
  90. K.H. Yap and L. Guan, “Image restoration based on hierarchical cluster model with evolutionary optimization,” Proc. IEEE Int. Conf. on Image Processing, vol. I, pp. 189-193, Kobe, Japan, October 1999.
  91. M. Kyan, L. Guan, M. Arnison and C. Cogswell, “Feature extraction of chromosomes from 3D confocal microscope images,” Proc. IEEE Int. Conf. on Image Processing, vol. II, pp. 843-847, Kobe, Japan, October 1999.
  92. H.-S. Wong and L. Guan, “A Fuzzy Model-based Neural Network for Adaptive Regularization in image restoration,” Proc. IEEE Int. Conf. on Image Processing, vol. I, pp. 391-395, Kobe, Japan, October 1999.
  93. M. Kyan, L. Guan, M. Arnison and C. Cogswell, “Feature extraction and 3D reconstruction of Nomarski DIC microscope images using local energy and neural net techniques,” Proc. Focus on Microscopy 1999, Heidelberg, Germany, April 1999.
  94. H.S. Wong, T. Caelli and L. Guan, “Edge Characterization Using a Model-Based Neural Network,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Vol. 2, pp. 1101-1104, Phoenix, USA, March 1999.
  95. S. Yu and L. Guan, “Feature Selection Using General Regression Neural Networks for the Automatic Detection of Clustered Microcalcifications,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 2, pp. 1109-1112, Phoenix, USA, March 1999.
  96. J. Lay and L. Guan, “Image retrieval based on energy histograms of the low frequency DCT coefficients,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 6, pp. 3009-3012, Phoenix, USA, March 1999.
  97. J.P Sutton, D. Sha, S. Perry L. Guan, “Enhancing mine signatures in sonar images using nested neural networks,” SPIE Proc. Series, vol. 3710, pp. 570-577, Orlando, USA, April 1999.
  98. M. Kyan, L. Guan, M. Arnison and C. Cogswell, “Feature extraction in 3D microscopy images,” SPIE Proc. Series, vol. 3605, pp. 209-216, San Jose, USA, January 1999.
  99. J.P Sutton, L. Guan and S. Perry, “Sonar image enhancement in turbid environments,” Proc. Joint Conference on Information Sciences, vol. II, pp. 1-3, ed. Paul P. Wang, Assoc. for Intelligent Machinery, Inc., Research Triangle Park, North Carolina, USA, 1998.
  100. R. Romagnoli, P.T.A. Nguyen, L. Guan, L. Cinque and S. Levialdi, “Self-organizing map for segmenting 3D biological images,” Int. Conf. on Pattern Recognition, Brisbane, Australia, 1998.
  101. S. Perry and L. Guan, “Perception based adaptive image restoration,” Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. V, pp. 2893-2896, Seattle, USA, 1998.
  102. H.S. Wong and L. Guan, “Adaptive regularization in image restoration using evolutionary programming,” Proc. IEEE Int. Conf. on Evolutionary Computation, pp. 159-164, Anchorage, USA, 1998.
  103. S. Perry and L. Guan, “A statistics-based weight assignment in a Hopfield neural network for adaptive image restoration,” Proc. IEEE Int. Joint Conf. on Neural Networks, pp. 992-997, Anchorage, USA, 1998.
  104. S. Yu and L. Guan, “Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classifications,” SPIE Proc. Series, vol. 3338, pp. 1540-1546, San Diego, February 1998.
  105. R. Green, L. Guan and J.A. Burne, “Real-time gait analysis for diagnosing movement disorders,” SPIE Proc. Series, vol. 3338, pp. 818-825, San Diego, February 1998.
  106. M.R. Arnison, P.W. Fekete, M. Serrano, P.T.A. Nguyen, R. Romagnoli, L. Guan, C. J. Cogswell and J. W. O’Byrne, “Transmission Confocal Microscopy: Making it a Reality,” Proc. SPIE Proc. Series, vol. 3261, pp. 50-58, San Jose, February 1998.
  107. P.T.A. Nguyen, R. Romagnoli, P. Fekete, M.R. Arnison, L. Guan and C. Cogswell, “A self-organizing map for extracting features of chromosomes in microscopy images,” Proc. Australian Conf. on Neural Networks, pp. 158-162, Brisbane, 1998 (High Merit Paper Selection).
  108. L. Guan, “A recursive low level vision model,” Proc. Int. Symp. on Multimedia Information Processing, pp. 453-458, Taiwan, 1997.
  109. S.Y. Yu and L. Guan, “Detection of clustered microcalcifications in digital mammograms using wavelet processing techniques,” Proc. Int. Symp. on Multimedia Information Processing, pp. 102-106, Taiwan, 1997.
  110. S. Perry and L. Guan, “Adaptive constraint restoration and error analysis using a neural network,” Proc. Australian Joint Conf. on AI, pp. 87-95, Perth, Australia, 1997.
  111. R. Chang, L. Guan and J.A. Burne, “A computer assisted image analysis system for diagnosing movement disorders,” Proc. Australian Joint Conf. on AI, pp. 290-301, Perth, Australia, 1997.
  112. H. Kong and L. Guan, “Eliminating impulse noise with random intensity distribution by a self-organizing tree map,” Proc. ACNN’97, pp. 105-108, Melbourne, Australia, 1997.
  113. H.S. Wong and L. Guan,“Adaptive regularization in image restoration using a model-based neural network,”Proc. SPIE 3030, pp. 125-136, San Jose, USA, 1997.
  114. A.C.C. Cheng and L. Guan, “A Logical Implementation of the Associative Memory Networks,” Proc. Int. Symp. on Multi-Technology Information Processing, pp. 523-527, Hsinchu, Taiwan, 1996.
  115. S.Y. Yu and L. Guan, “A Two-step Approach for Segmenting Microcalcifications in Digital Mammograms,” Proc. Int. Symp. on Multi-Technology Information Processing, pp. 369- 374, Hsinchu, Taiwan, 1996.
  116. H. Kong and L. Guan, “Enhancement and real-time analysis of an adaptive impulsive noise removal method,” Proc. IEEE Workshop on Real-Time Applications, Montreal, Canada, 1996.
  117. S.W. Perry and L. Guan, “Segmentation and visualization of 3D underwater ultrasonic images,” Proc. APRS Image Segmentation Workshop, pp. 69-74, edt Braun M et al, University of Technology Sydney, Australia, 1996.
  118. H. Kong and L. Guan, “An adaptive approach for removing impulse noise with random gray-scale values,” Proc. IEEE Int.  Conf. on Acoustics, Speech and Signal processing, vol. 4, pp. 2289-2292, Atlanta, USA, 1996.
  119. E. Wong, L. Guan and S.W. Perry, “A Neural Network Implementation of the SMSE Filter for Image Processing,” SPIE Proc. Series, vol. 2661, pp. 77-85, San Jose, USA, 1996.
  120. D. Wu, and L. Guan, “Design and implementation of a distributed real-time image processing system,” Proc. IEEE Int. Conf. on Engineering of Complex Computer Systems, pp. 266-269, Florida, USA, 1995.
  121. S.W. Perry and L. Guan, “An efficient neural computing algorithm for restoring space variantly blurred images,” Proc. IEEE Int. Conf. on Neural Networks, pp. 2067-2070, Perth, Australia, 1995.
  122. H. Kong and L. Guan, “Detection and removal of impulse noise by a neural network guided adaptive median filter,” Proc. IEEE Int. Conf. on Neural Networks, pp. 845-849, Perth, Australia, 1995.
  123. J. Tang and L. Guan, “A texture guided wavelet encoder for very low bitrate video coding,” Proc. 2nd Int. Conf. on Neural Networks and Signal Processing, pp. 1051-1054, Nanjing, China, 1995.
  124. L. Guan and J.A. Burne, “Identification of postural changes in neurological disorders using video image analysis: Some initial results,” Proc. Aust. Physiol. Pharmac. Soc., 26, pp. 228, 1995.
  125. L. Guan and H. Kong,  “A real-time visual information processing system,” Proc. IEEE Int. Conf. on Systems, Men, and Cybernetics, pp. 1375-1380, San Antonio, USA, Oct, 1994.
  126. L. Guan, “Wavelet image modeling and its application in model-based image coding,” SPIE Proc. Series, vol. 2308, pp. 526-534, Chicago, USA, 1994.
  127. A.C.C. Cheng and L. Guan, “Using a generalized neuron evolution rule to resolve spatial deformation in pattern recognition,” SPIE Proc. Series, vol. 2308, pp. 571-580, Chicago, USA, 1994.
  128. A.C.C. Cheng, L. Guan and R. Cheung, “A novel learning framework for associative neural networks,” Proc. ISITA ‘94: Int. Symp. on Infor. Theory and Its Appl., pp. 751-755, Sydney, Australia, 1994.
  129. H. Kong and L. Guan, “A self-organizing neural network for image segmentation,” Proc. 2nd ANZIIS Conference, pp. 27-31, Brisbane, Australia, 1994.
  130. X.L. Zhou and L. Guan, “A neural network implementation of the scaled mean square-error filter for the elimination of speckle noise in ultrasonic images,” Proc. Int. Conf. on Underwater Acoustics, pp. 34-35, Sydney, Australia, 1994.
  131. H. Kong and L. Guan, “The design and implementation of a real-time machine vision system for medical imaging applications,” Proc. IEEE Workshop on Real-time Applications, pp. 81-85, Washington, D.C. USA, 1994.
  132. L. Guan, “Optimal neuron evolution for image processing,” Proc. 2nd Australian Conf. on Neural Networks, pp. 157-160, Brisbane, Australia, 1994.
  133. L. Guan, “Statistical texture guided adaptive image coding by wavelet transforms,” Proc. SPIE’s Int. Symp. on Optical Applied Science and Engineering, pp. 256-263, San Diego, California, 1993.
  134. L. Guan, “Image restoration by a neural network with hierarchical clustered architecture,” SPIE Proc. Series, 1903, pp. 72-83, San Jose, California, 1993.
  135. L. Guan, “A neural network approach to underwater target tracking,” Proc. IEEE Int. Conf. on Oceanic Engineering, pp. 173-178, Newport, Rhode Island, USA, .
  136. L. Guan, A. Lee-Kwen, T. Feather, and S. Berkowitz, “CAXSS – An intelligent threat detection system,” SPIE Proc. Series 1824, Boston, USA, .
  137. L. Guan, “A neural network approach to adaptive image enhancement,” SPIE Proc. Series 1658, pp. 258-266, San Jose, USA, .
  138. L. Guan, “Efficient data representation in morphological image processing,” Proc. APRS Workshop on 2 And 3 Dimensional Spatial Data, pp. IP2A 13-17, Perth, Australia, Dec., .
  139. L. Guan, T. Feather, and M. Audette, “Comparing different neural network architectures for classifying X-ray imagery,” Proc. The First AMSE Int. Conf. on Neural Networks, pp. 191-200, San Diego, USA, 1991.
  140. L. Guan, T. Feather, and M. Audette, “Restoration of exponential distortion in moving X-ray images,” Proc. Canadian Conf. On Electrical and Computer Engineering, pp. 68.1.1-68.1.4, Quebec City, Canada, 1991.
  141. T.E. Feather, A. Lee-Kwen, L. Guan, S. Berkowitz, and M. Audette, “Automated baggage threat detection,” Proc. Canadian Conf. on Electrical and Computer Engineering, pp. 775-778, Montreal, Canada, 1989.
  142. L. Guan and R.K. Ward, “A maximum a posteriori approach to the restoration of randomly distorted signals,” Proc. ICASSP-88, vol. 3, pp. 1770-1773, New York City, USA, 1988.
  143. L. Guan and R.K. Ward, “Restoration of stochastically blurred images by the constrained deconvolution method,” Proc. Canadian Conf. on Electrical and Computer Engineering, pp. 751-754, Vancouver, Canada, 1988.
  144. L. Guan, K. Singhal, and J. Vlach, “Computer analysis of signal flow graphs containing transfer functions,” Proc. IEEE Int. Conf. on Circuits and Systems, pp. 174-177, Beijing, China, 1985.

Patents

  1. J.P. Sutton and L. Guan, “System and method for image regularization in inhomogeneous environment using clustering in neural networks,” US Patent # 5,978,505 issued by the US Patent Office, November 2, 1999.
  2. M. Wu, R. Joyce, H.S. Wong, L. Guan, S.-Y. Kung, A. Vetro and H.-F. Sun, “Dynamic network resource allocation using multimedia content features and traffic features,” US Patent # 6,947,378 issued by the US Patent Office, September 2005.
  3. J. Lay and L. Guan, “Concept-based indexing and retrieval of images and audiovisual documents,” US Patent Application (2003, pending).