游寶達 - 個人簡介

期刊論文

  1. P.-T. Yu and E.J. Coyle, “Convergence Behavior and N-roots of Stack Filters,” IEEE Trans. on ASSP, vol. 38, no. 9, pp.1529 ~ 1544, Sept. 1990. (SCI)(EI)
  2. P.-T. Yu and E.J. Coyle, “On the Existence and Design of the Best Stack Filter Based Associative Memory,” IEEE Trans. on Circuits and Systems, vol. 39, no. 3, pp.171 ~ 184, March 1992. (SCI)(EI)
  3. P.-T. Yu, “Some Representation Properties of Stack Filters,” IEEE Trans. on SP, vol. 40, no. 9, pp.2261 ~ 2266, Sept. 1992. (SCI)(EI)
  4. P.-T. Yu and E.J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” IEEE Trans. on SP, vol. 40, no. 10, pp.2483 ~ 2497, Oct. 1992. (SCI)(EI)
  5. M. Gabbouj, P.-T. Yu and E.J. Coyle, “Convergence Behavior and Root Signal Set of Stack Filters,” Circuit Systems and Signal Processing, vol. 11, no. 1, pp.171 ~ 193, Nov. 1992. (SCI)(EI)
  6. P.-T. Yu and W.-L. Wang, “Root Properties of Median Filters under Three Appending Strategies,” IEEE Trans. on SP, vol. 41, no. 2, pp.965 ~ 970, Feb. 1993. (SCI)(EI)
  7. R. Yang, M. Gabbouj and P.-T. Yu, “Parametric Analysis of Weighted Order Statistics Filters,” IEEE Signal Processing Letters, vol. 1, no. 6, pp.95 ~ 98, June 1994. (SCI)(EI)
  8. P.-T. Yu and K.-H. Fang, “An Associative Representation of Stack Neural Networks- Graph-Based Representation,” the Proceedings of the National Science Council, vol. 18, no. 4, pp.334 ~ 347, 1994. (SCI)
  9. P.-T. Yu and W.-H. Liao, “Weighted Order Statistics Filters - Their Classification, Some Properties and Conversion Algorithm,” IEEE Trans. on SP, vol. 42, no. 10, pp.2678 ~ 2691, Oct. 1994. (SCI)(EI)
  10. P.-T. Yu and C.-D. Chang, “The Discrete Iteration of Stack Neural Networks,” the Proceedings of the National Science Council, vol. 19, no. 1, pp.64 ~ 76, 1995. (SCI)
  11. R.-C. Chen and P.-T. Yu, “An Optimal Design of Fuzzy (m, n) Rank Order Filtering with Hard Decision Neural Learning,” Journal of Information Science and Engineering 11, pp. 567 ~ 593, 1995. (SCI)(EI)
  12. P.-T. Yu and R.-C. Chen, “Fuzzy Stack Filters - Their Definitions, Fundamental Properties and Application in Image Processing,” IEEE Trans. on Image Processing, vol.5, no. 6, IIPRE4, pp.838 ~ 854, June 1996. (SCI)(EI)
  13. P.-T. Yu and R.-C. Chen, “An Associative Representation of Stack Neural Networks - Maximum Stacking Vector Representation,” Journal of Information Science and Engineering, 12, No. 4, pp. 525 ~ 545, Dec 1996. (SCI)(EI)
  14. R.-C. Chen and P.-T. Yu, “On the Design of Fast Filtering Algorithm for Fuzzy Stack Filters,” Part A: Physical Science and Engineering, the Proceedings of the National Science Council, vol. 20, no. 6, Nov. 1996. (SCI)
  15. C.-S. Lee, Y.-H. Kuo and P.-T. Yu, “Weighted Fuzzy Mean Filters for Image Processing,” Fuzzy Sets and Systems, 89, pp. 157-180, 1997. (SCI)
  16. R.-C. Chen and P.-T. Yu, “Fuzzy Selection Filters for Image Restoration with Neural Learning,” IEEE Trans. on Signal Processing, vol. 47, no. 5, pp. 1446-1450, May 1999. (SCI)(EI)
  17. H.-H. Tsai and P.-T. Yu, “Adaptive Fuzzy Hybird Multichannel Filters for Removal of Impulsive Noise from Color Images,” Signal Processing, vol.7, no.2, pp. 127-151, April 1999. (SCI)(EI)
  18. H.-H. Tsai and P.-T. Yu, “Genetic-Based Fuzzy Hybrid Multichannel Filters for Color Image Restoration,” Fuzzy Sets and Systems, 114 (2000), 203-224, 2000. (SCI)(EI)
  19. H.-H. Tsai and P.-T. Yu, “On the Optimal Design of Fuzzy Neural Networks with Robust Learning for Function Approximation,” IEEE Trans. on Systems, Man, and Cybernetics B: Cybernetics, vol. 30, Feb. 2000. (SCI)(EI)
  20. R.-H. Hwang and P.-T. Yu, “PROMS: A PRO-active Monitoring System for SS7 Networks,” International Journal of Network Management, Vol. 10, No. 1, pp.17-27, 2000. (SCI)(EI)
  21. H.-H. Tsai, S.-H. Chen and P.-T. Yu, “On the Design of Neuro-Fuzzy Hybrid Multichannel Filters for Color Image Restoration,” Journal of Electronic Imaging, Vol. 9, No. 2, April 2000. (SCI)(EI)
  22. P.-T. Yu, H.-H. Tsai and J.-S. Lin, “Digital Watermarking Based on Neural Networks for Color Images,” Signal Processing 81, pp. 663-671, 2001. (SCI)(EI)
  23. Tzu-Chao Lin and Pao-Ta Yu, “Centroid Neural Network Adaptive Resonance Theory for Vector Quantization,” Signal Processing 83, pp. 649-654, 2003. (SCI)(EI)
  24. Hung-Hsu Tsai, Ji-Shiung Cheng, and Pao-Ta Yu, “Audio Watermarking Based on HAS and Neural Networks in DCT Domain,” Journal on Applied Signal Processing, vol. 2003, no. 3, 1 March 2003. (SCI)
  25. Tzu-Chao Lin and Pao-Ta Yu, “Partition Fuzzy Median Filter Based on Fuzzy Rules for Image Restoration,” Fuzzy Sets and Systems, vol. 147, pp.75-97, October, 2004. (SCI)
  26. Tzu-Chao Lin and Pao-Ta Yu, “Two-Pass Median Filter Based on Support Vector Machines for Image Restoration,” Neural Computation, Vol.16, No.2, pp.333-354, Feb. 2004. (SCI)
  27. Timothy K. Shih, Pao-Ta Yu, Wen-Chih Chang, and David J. T. Yang, “Distance Learning Standards: Technologies and Challenges,” Journal of Applied Systems Studies, special issue on “Distance Education”, 2004.
  28. Jin Tan David Yang, Pao-Ta Yu, Nian Shing Chen, Chun Yen Tsai, Chin Chin Lee, and Timothy K. Shih , "Using Ontology as Scaffolding for Authoring Teaching Materials," International Journal of Distance Education Technologies , Vol. 3 , No. 1, January-March 2005. (EI)
  29. S.-T. Li, Pao-Ta. Yu and C.-H. Lin, “On the Design of SCORM-compliant SMIL-enabled Multimedia Streaming E-Learning System,” International Journal of Distance Education Technologies, Vol. 3, No. 3, pp. 48-64, 2005. (EI)
  30. Chung-Ming Own and Pao-Ta Yu, “Forecasting Fuzzy Time Series with Heuristic High Order Models,” Cybernetics and Systems, 36, 1-13, 2005. (SCI)
  31. Shi-Ming Huang, Chun-Wang Wei, Pao-Ta Yu, Ta-Yi Kuo, “An Empirical Investigation on Learners’ Acceptance of e-Learning for Public Unemployment Vocational Training,” Int. J. Innovation and Learning, Vol. 3, No. 2, 2006.
  32. Tzu-Chao Lin and Pao-Ta Yu, “Thresholding Noise-free Ordered Mean Filter Based on Dempster-Shafer Theory for Image Restoration,” IEEE Transactions on Circuits and Systems-I, vol. 53, May 2006. (SCI)(EI)
  33. Tzu-Chao Lin and Pao-Ta Yu, “Impulse Noise Detection and Removal Using Multiple Thresholds for Image Restoration,” Journal of Information Science and Engineering, vol.22, pp.189-198, January 2006. (EI)
  34. Chung-Ming Own, Hung-Hsu Tsai, Pao-Ta Yu and Yao-Je Lee, “Adaptive Type-2 Fuzzy Median Filter Design for Removal of Impulse Noises,” the Imaging Science Journal, vol. 54, pp. 3-16, Mar. 2006. (SCI, EI)
  35. C.-C. Yao and Pao-Ta Yu, “Fuzzy Regression by Asymmetric Support Vector Machines,” Applied Mathematics and Computation, vol. 182, 2006, pp. 175-193. (SCI)
  36. C.-C. Yao and P.-T. Yu, “The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines,” accepted by Applied Signal Processing. (SCI extended)
  37. C.-C. Yao and Pao-Ta Yu, “Oblique Support Vector Machines,” accepted by Informatica. (SCI)
  38. P.-T. Yu and C.-C. Yao, “Dichotomous Learning Algorithm for the Optimal Design of Weighted Order Statistics Filters,” accepted by Journal of Information Science and Engineering. (SCI)

投稿及整理中論文

  1. Ming-Tsung Liu and Pao-Ta Yu, “Diagnosis of Learning Bbehaviors using Person-Fit Statistics in Personalized e-Learning System,” Ready to submit to Computer & Education.
  2. Ming-Tsung Liu and Pao-Ta Yu, “Facial Expression Recognition based on Temporal Rreasoning Technique,” Ready to submit to EURASIP Journal on Applied Signal Processing.
© 2007 Yu Pao-Ta