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李政軒 (Cheng-Hsuan Li)

其他教學影片

*微積分網路教學(教學影片)
*常微分方程習題解答(教學影片)
*AutoCAD特訓教材教學影片
*CWTeX的安裝流程
*錄製電腦畫面軟體Camtasia 的安裝與簡易錄製
*遠短遙控軟體VNC的安裝與使用
 
學歷(Education)

交通大學電控工程研究所博士 2007/09~2012/01
Ph.D. Candidate of Institute of Electrical Control Engineering, National Chiao Tung University, Hsinchu, Taiwan (R.O.C.)
中興大學應用數學系碩士 2001/09~2003/06
M.S., Department of Applied Math., National Chung Hsing University, Taichung, Taiwan (R.O.C.)
中興大學應用數學系學士 1997/09~2001/06
B.S., Department of Applied Math., National Chung Hsing University, Taichung, Taiwan (R.O.C.)
 
經歷(Experience)

臺中教育大學教育測驗統計研究所 博士後研究員 2012/02~Present
Postdoctoral Researcher, Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan (R.O.C.) 
臺中教育大學教育測驗統計研究所 研究助理 2011/08~2012/01
Research Assistant, Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan (R.O.C.) 

臺中教育大學教育測驗統計研究所 行政助理 2008/08~2011/08
Executive Assistant, Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan (R.O.C.)
僑光科技大學通識教育中心 兼任講師 2008/08~2011/08
Adjunct Instructor, General Education Cenler, Overseas Chinese University, Taichung, Taiwan (R.O.C.)
逢甲大學應用數學系 專任講師 2006/08~2008/08
Instructor, Department of Applied Math., Feng Chia University, Taichung, Taiwan (R.O.C.)
中興大學應用數學系 專任助教 2004/08~2006/08
Teaching Assistant, Department of Applied Math., National ChungHsing University, Taichung, Taiwan (R.O.C.)
巨匠電腦 兼任講師 2003/12~2004/08
Adjunct Instructor, Gjun information Co., Ltd.
 
研究興趣 (Research Interests)

圖形識別 (Pattern Recognition)
核化法 (Kernel Method)
遙測影像資料分析 (Remote Sensing)
數值分析 (Numerical Analysis)
 
Journal Papers 
  1. Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, and Chih-Sheng Huang, “A spatial-contextual support vector machine for remotely sensed image classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. PP, no. 99, pp. 1-16, August 2011. (SCI and EI; 2010 Impact Factor=2.485; Accepted)
  2. Cheng-Hsuan Li, Hsin-Hua Ho, Yu-Lung Liu, Chin-Teng Lin, Bor-Chen Kuo, and Jin-Shiuh Taur, “An automatic method for selecting the parameter of the normalized kernel function to support vector machines,” Journal of Information Science and Engineering, vol. 28, no. 1, pp. 1-15, January 2012. (SCIE and EI; 2010 Impact Factor=0.270; Accepted)
  3. Cheng-Hsuan Li, Bor-Chen Kuo, and Chin-Teng Lin, “LDA-based clustering algorithm and its application to an unsupervised feature extraction,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 1, pp.152-163, Feb. 2011. (SCI and EI; 2010 Impact Factor= 2.695)
    Cited by in Web of Knowledge (0)                        Cited by in Scopus (1)        Cited by in Google (4)
  4. Chin-Kai Lin, Huey-Min Wu, Bor-Chen Kuo, and Cheng-Hsuan Li, “Validity and internal consistency reliability of a computerized test to assess prone extension in children ages four to six years,” Perceptual and Motor Skills, vol. 111, no. 1, pp.199-209, 2010. (SSCI; Impact Factor=0.492)
  5. Bor-Chen Kuo, Cheng-Hsuan Li, and Jinn-Min Yang, “Kernel nonparametric weighted feature extraction for hyperspectral image classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 4, pp.1139-1155, April 2009. (SCI and EI; Impact Factor=2.234)
    Cited by in Web of Knowledge (4)                        Cited by in Scopus (10)     Cited by in Google (16)
  6. Cheng-Hsuan Li, Wen-Chun Wang, Bor-Chen Kuo and Chih-Cheng Hung, “A novel fuzzy weighted c-means method for image classification,” International Journal of Fuzzy Systems, vol. 10, no. 3, pp.168-173, September 2008. (SCIE and EI)
    Cited by in Web of Knowledge (8)                        Cited by in Scopus (14)     Cited by in Google (10)
  7. Hsin-Hua Ho, Cheng-Hsuan Li, and Bor-Chen Kuo, “An adaptive nearest neighbor classifier based on nonparametric separability,” Journal of Photogrammetry and Remote Sensing, vol.12, no.4, pp. 291-302, Dec. 2007. (TSCI)
  8. Bor-Chen Kuo, Hsin-Hua Ho, Cheng-Hsuan Li and Ya-Yuan Chang, “A novel nearest neighbor classifier based on adaptive nonparametric separability,” Lecture Notes in Computer Science, vol. 4304/2006, pp. 204-213, 2006. (CPCI-S)
    Cited by in Web of Knowledge (0)                        Cited by in Scopus (0)        Cited by in Google (1)
  9. Bor-Chen Kuo and Cheng-Hsuan Li, “Kernel nonparametric weighted feature extraction for classification,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3809 LNAI, pp. 567-576, 2005. (SCIE, EI, and CPCI-S; Impact Factor=0.302)
    Cited by in Web of Knowledge (0)                        Cited by in Scopus (0)        Cited by in Google (2)
Book Chapter
  • Bor-Chen Kuo, Jinn-Min Yang and Cheng-Hsuan Li, “Chapter 16. Remote Sensing Data Classification with Kernel nonparametric Feature Extractions,” Kernel Methods for Remote Sensing Data Analysis, pp. 376-399, Wiley, Nov. 2009.
Conference Papers 
  1. Hsin-Hua Ho, Cheng-Hsuan Li, Bor-Chen Kuo and Jin-Shiuh Taur, “A semi-supervised feature extraction based on supervised and fuzzy-based linear discriminant analysis for hyperspectral image classification,” 2012 the International Symposium on Computer, Consumer and Control, June 4-6, 2012, Taichung, Taiwan. (Accepted)
  2. I-Ling Chen, Wei-Ming Chang, Bor-Chen Kuo, and Cheng-Hsuan Li, “Applying optimal kernel algorithm to multiple classifier system for improving dynamic subspace method based on support vector machines,” 2011 Aeronautical and Astronautical Society of the Republic of China (AASRC) Conference, Taichung, November, 2011.
  3. 余韋任、李政軒、郭伯臣、何宗融,太極八法動作影像之電腦化評量分析研究,中國測驗學會2011年會暨心理與教育測驗學術研討會1022日,2011年,台北市,台灣。
  4. Cheng-Hsuan Li, Hui-Shan Chu, Bor-Chen Kuo, and Chin-Teng Lin, “Hyperspectral image classification using spectral and spatial information based linear discriminant analysis,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1716-1719, 2011. (EI)
  5. Bor-Chen Kuo, I-Ling Chen, Cheng-Hsuan Li, and Chih-Cheng Hung, “Combining ensemble technique of support vector machines with the optimal kernel method for hyperspectral image classification,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3903-3906, 2011. (EI)
  6. Hui-Shan Chu, Cheng-Hsuan Li, Bor-Chen Kuo, and Chin-Teng Lin, “A semisupervised feature extraction method based on fuzzy-type linear discriminant analysis,” IEEE International Conference on Fuzzy Systems, pp. 1927-1932, June 27-30, 2011, Taipei, Taiwan. (EI and CPCI-S)
  7. 白鎧誌、李政軒、郭伯臣、廖晨惠,應用潛在語意分析探究詞彙對語料庫之重要性,2011資訊科技國際研討會422-23日,2011年,臺中縣,台灣。
  8. Hui-Shan Chu, Cheng-Hsuan Li, and Bor-Chen Kuo, “Linear discriminate analysis based on both spectral and spatial information for hyperspectral image classification (in Chinese),” International Conference on Advanced Information Technologies, April 22-23, 2011, Taichung County, Taiwan.
  9. Bor-Chen Kuo, Cheng-Hsuan Li, Chih-Sheng Huang, Shih-Syun Lin, I-Ling Chen, and Hui-Shan Chu, “A novel semi-supervised classification procedure based on kernel method and spatial information for hyperspectral image classification (in Chinese),” 2010 Aeronautical and Astronautical Society of the Republic of China (AASRC) Conference, Taoyuan, December, 2010.
  10. Cheng-Hsuan Li, Chin-Teng Lin, Bor-Chen Kuo, and Hsin-Hua Ho, “An automatic method for selecting the parameter of the normalized kernel function to support vector machines,” Proceedings- International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010, pp. 226-232, 2010. (EI)
  11. I-Ling Chen, Kai-Chih Pai, Bor-Chen Kuo, and Cheng-Hsuan Li, “An adaptive rule based on unknown pattern for improving k-nearest neighbor classifier,” Proceedings- International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010, pp. 331-334, 2010. (EI)
  12. Yuehjen E. Shao, Chen-Hsuan Li, Bor-Chen Kuo, and Hisao-Yun Huang, “Analytic SVM parameter selection method for determining the contributors of a multivariate statistical process control signal,” The 7th International Symposium on Management Engineering (ISME 2010), August, 26-28, Kokura, Kitakyushu, Japan, 2010.
  13. I-Ling Chen, Chih-Sheng Huang, Bor-chen Kuo, and Cheng-Hsuan Li, “An automatic algorithm to choose a composite kernel,” The 23th Computer Vision, Graphics, and Image Processing, August, 15-17, 2010.
  14. Cheng-Hsuan Li, Chin-Teng Lin, Bor-Chen Kuo, and Hui-Shan Chu, “An automatic method for selecting the parameter of the RBF kernel function to support vector machines,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 836-839, 2010. (EI and CPCI-S)
  15. I-Ling Chen, Cheng-Hsuan Li, Bor-Chen Kuo, and Hsiao-Yun Huang, “Applying optimal algorithm to data-dependent kernel for hyperspectral image classification,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2808-2811, 2010. (EI and CPCI-S)
  16. Chih-Sheng Huang, Shih-Syun Lin, Cheng-Hsuan Li, and Bor-Chen Kuo, “Applying composite kernel to kernel-based nonparametric weighted feature extraction,” Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010, pp. 1795-1800, 2010. (EI and CPCI-S)
  17. Bor-Chen Kuo, Chun-Hsiang Chuang, Cheng-Hsuan Li, and Chin-Teng Lin, “Subspace selection based multiple classifier systems for hyperspectral image classification,” WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. (EI and CPCI-S)
  18. Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, and Chih-Cheng Hung, “Dimension reduction for hyperspectral image classification via support vector based feature extraction,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 5, no. 1, pp. V389-V392, 2008. (EI)
  19. Hsin-Hua Ho, Bor-Chen Kuo, Jin-Shiuh Taur, and Cheng-Hsuan Li, “A flexible metric nearest-neighbor classification based on the decision boundaries of SVMs for hyperspectral image,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, no. 1, pp. IV212-IV215, 2008. (EI)
  20. Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, and Hsin-Hua Ho, “An unsupervised linear discriminant analysis and its application for clustering,” 21th Computer Vision, Graphics, and Image Processing, August, 24-26, 2008
  21. Cheng-Hsuan Li, Hsin-Hua Ho, and Bor-Chen Kuo, “Hyperspectral image classification using kernel-based nonparametric weighted feature extraction with optimized kernels,” 20th Computer Vision, Graphics, and Image Processing, August, 19-21, 2007.
  22. Bor-Chen Kuo, Cheng-Hsuan Li, Tian-Wei Sheu, and Chih-Cheng Hung, “Hyperspectral image classification using KNWFE with conformal transformation for kernel selection,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3789-3793, 2007. (EI and CPCI-S)
  23. Hsin-Hua Ho, Cheng-Hsuan Li, Bor-Chen Kuo, and Ya-Yuan Chang, “An adaptive nearest neighbor classifier based on nonparametric separability,” 19th Computer Vision, Graphics, and Image Processing, August, 13-15, 2006
  24. Bor-Chen Kuo, Cheng-Hsuan Li, Tian-Wei Sheu, and Hsueh-Hua Liao, “Hyperspectral image classification using kernel-based nonparametric weighted feature extraction,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 557-560, 2006. (EI and CPCI-S)
  25. Bor-Chen Kuo, Cheng-Hsuan Li, Hsin-Hua Ho, and Hsuan-Po Wang, “Hyperspectral image classification using kernel nonparametric weighted feature extraction and feature selection,” 18th Computer Vision, Graphics, and Image Processing, August, 21-23, 2005

Professional Society Activities

  1. Information Sciences (Informatics and Computer Science Intelligent Systems Applications), ISSN: 0020-0255, ELSEVIER. (Reviewer)
  2. IEEE Transactions on Neural Networks, ISSN: 1045-9227, IEEE Computational Intelligence Society. (Reviewer)
  3. Pattern Analysis and Applications Journal, ISSN: 1433-7541, Springer. (Reviewer)

Conferences Attended

  1. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, June 27-30, 2011.
  2. 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu, Hawaii, USA, July 25-30, 2010.
  3. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, Aug. 2009.
  4. 21th Computer Vision, Graphics, and Image Processing, August, 24-26, 2008.
  5. 20th Computer Vision, Graphics, and Image Processing, August, 19-21, 2007.
  6. 19th Computer Vision, Graphics, and Image Processing, August, 13-15, 2006.
  7. 19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia, December 4-8, 2006.
  8. 2006 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2006), Denver, Colorado, U.S., July, 31 - Aug. 4, 2006.
  9. 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005.
  10. 18th Computer Vision, Graphics, and Image Processing, August, 21-23, 2005.