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Peng-Yeng Yin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Peng-Yeng Yin
    Polygonal Approximation Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    CAIP, 1999, pp:175-182 [Conf]
  2. Gwo-Jen Hwang, Peng-Yeng Yin, Gwo-Haur Hwang, Ying Chan
    A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria. [Citation Graph (0, 0)][DBLP]
    ICALT, 2005, pp:46-50 [Conf]
  3. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei Dong
    Reinforcement Learning for Combining Relevance Feedback Techniques. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:510-515 [Conf]
  4. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei Dong
    Improving Retrieval Performance by Long-term Relevance Information. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:533-0 [Conf]
  5. Peng-Yeng Yin
    A Tabu Search Approach to Polygonal Approximation of Digital Curves. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2000, v:14, n:2, pp:243-0 [Journal]
  6. Peng-Yeng Yin
    Genetic Algorithms for Polygonal Approximation of Digital Curves. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:7, pp:1061-1082 [Journal]
  7. Peng-Yeng Yin
    Skew detection and block classification of printed documents. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2001, v:19, n:8, pp:567-579 [Journal]
  8. Shyong Jian Shyu, Peng-Yeng Yin, Bertrand M. T. Lin, Mohamed Haouari
    Ant-Tree: an ant colony optimization approach to the generalized minimum spanning tree problem. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2003, v:15, n:1, pp:103-112 [Journal]
  9. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei Dong
    Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:10, pp:1536-1551 [Journal]
  10. Peng-Yeng Yin
    Ant colony search algorithms for optimal polygonal approximation of plane curves. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:8, pp:1783-1797 [Journal]
  11. Peng-Yeng Yin
    Algorithms for straight line fitting using k-means. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:1, pp:31-41 [Journal]
  12. Peng-Yeng Yin
    A new circle/ellipse detector using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:7, pp:731-740 [Journal]
  13. Peng-Yeng Yin
    A new method for polygonal approximation using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:11, pp:1017-1026 [Journal]
  14. Peng-Yeng Yin, Ling-Hwei Chen
    A new non-iterative approach for clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:2, pp:125-133 [Journal]
  15. Peng-Yeng Yin, Cheng-Chung Yeh
    Content-based retrieval from trademark databases. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:1-3, pp:113-126 [Journal]
  16. Peng-Yeng Yin
    Particle swarm optimization for point pattern matching. [Citation Graph (0, 0)][DBLP]
    J. Visual Communication and Image Representation, 2006, v:17, n:1, pp:143-162 [Journal]
  17. Peng-Yeng Yin, Shin-Huei Li
    Content-based image retrieval using association rule mining with soft relevance feedback. [Citation Graph (0, 0)][DBLP]
    J. Visual Communication and Image Representation, 2006, v:17, n:5, pp:1108-1125 [Journal]
  18. Peng-Yeng Yin
    A discrete particle swarm algorithm for optimal polygonal approximation of digital curves. [Citation Graph (0, 0)][DBLP]
    J. Visual Communication and Image Representation, 2004, v:15, n:2, pp:241-260 [Journal]
  19. Peng-Yeng Yin, Jing-Yu Wang
    A particle swarm optimization approach to the nonlinear resource allocation problem. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2006, v:183, n:1, pp:232-242 [Journal]
  20. Peng-Yeng Yin
    Multilevel minimum cross entropy threshold selection based on particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2007, v:184, n:2, pp:503-513 [Journal]
  21. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te Wang
    Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2007, v:184, n:2, pp:407-420 [Journal]
  22. Peng-Yeng Yin
    Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2002, v:82, n:7, pp:993-1006 [Journal]
  23. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te Wang
    Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2007, v:80, n:5, pp:724-735 [Journal]

  24. Scatter PSO - A more effective form of Particle Swarm Optimization. [Citation Graph (, )][DBLP]


  25. Image Retrieval with Relevance Feedback Using Data Mining. [Citation Graph (, )][DBLP]


  26. Particle Swarm Optimization for Automatic Selection of Relevance Feedback Heuristics. [Citation Graph (, )][DBLP]


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