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Journal papers:
1. C. C. Lee, Y. C. Chiang, C. Y. Shih, and C. L. Tsai, “Noisy time series
prediction using M-estimator based robust radial basis function neural
networks with growing and pruning techniques” Expert Systems with
Applications. vol. 36, pp. 4717–4724, 2009. (SCI)
2. Chien-Cheng Lee, Cheng-Yuan Shih, and Hao-Ming Huang, “Story Related
Caption Detection and Localization in News Video,” Optical Engineering,
Vol. 48, No. 3, 037005, 2009. (SCI)
3. Chien-Cheng Lee and Cheng-Yuan Shih, “Learning Patterns of Liver
Masses using Improved RBF Networks,” Biomedical Engineering:
Applications, Basis and Communications, vol. 22, no. 2, pp. 137-147, 2010.
(SCI)
4. Chien-Cheng Lee, Shin-Sheng Huang, and Cheng-Yuan Shih, “Facial Affect
Recognition Using Regularized Discriminant Analysis-Based,” EURASIP
Journal on Advances in Signal Processing, vol. 2010, 2010. (SCI)
5. Chien-Cheng Lee, Cheng-Yuan Shih, Chih-Chang Yu, Wei-Ru Lai, and
Bor-Shenn Jeng, “Vision-Based Fingertip-Writing Character Recognition,”
The Journal of Signal Processing Systems, 2010. (SCI)
6. Chien-Cheng Lee, Cheng-Yuan Shih, Shih-Kai Lee, and Wei-Tyng Hong,
“Enhancement of Blood Vessels in Retinal Imaging Using the
Nonsubsampled Contourlet Transform,” Multidimensional Systems and
Signal Processing, vol. 23, no. 4, pp. 423-436, 2012. (SCI)
7. Chien-Cheng Lee, Cheng-Yuan Shih, Wen-Ping Lai, and Po-Chiang Lin,
“An Improved Boosting Algorithm and Its application to Facial Emotion
Recognition,” Journal of Ambient Intelligence and Humanized Computing,
vol.3, no.1, pp. 11-17, 2012.
Conference papers:
1. Chien-Cheng Lee and Cheng-Yuan Shih, “An adaptive multimedia
transmission control for telemedicine applications,” International Computer
Symposiums, pp. 467-470, 2004.
2. Chien-Cheng Lee and Cheng-Yuan Shih, “A streaming management CSCW
consultation system for telemedicine,” International Conference on
Information Technology: Research and Education, pp. 303-306, 2005.
3. C. C. Lee, C. L. Tsai, Y. C. Chiang, and C. Y. Shih, “M-estimator based
robust radial basis function neural networks with growing and pruning
techniques,” International Computer Symposiums, vol. 3, pp. 1065-1069,
2006.
4. C. Y. Shih and C. C. Lee, “A robust time series prediction using RBF
network with sigmoid kernel function and M-estimator,” Conference on
Artificial Intelligence and Applications, pp. 560-564, 2007.
5. C. C. Lee and C. Y. Shih, “Time series prediction using robust radial basis
function with two-stage learning rule,” IEEE International Conference on
Tools with Artificial Intelligence, vol. 2, pp. 382-387, 2007.
6. Chien-Cheng Lee, Hao-Ming Huang, and Cheng-Yuan Shih, ”A texture-based
method for caption localization and detection in news video,” in Proceeding of
2007 Computer Vision, Graphics and Image Processing Conference (CVGIP
2007), Miaoli, Taiwan, Aug. 19-21, 2007, pp.588-594.
7. Chien-Cheng Lee, Yu-Chun Chiang, Cheng-Yuan Shih, and Hau-Ming
Huang, “Caption localization and detection for news videos using frequency
analysis and wavelet features,” IEEE International Conference on Tools
with Artificial Intelligence, vol. 2, pp. 539-542, 2007.
8. Chien-Cheng Lee, Yu-Chun Chiang, and Cheng-Yuan Shih, and Wen-
Sheng Hu, “Image thresholding using mean-shift based particle swarm
optimization,” International Conference on Intelligent Systems Design and
Applications, vol. 1, pp. 65-70, 2008.
9. Chien-Cheng Lee and Cheng-Yuan Shih, “Classification of Liver Disease
from CT Images Using a Sigmoidal Radial Basis Function Neural Network
with Growing and Pruning Algorithm,” WRI World Congress Conference on
Computer Science and Information Engineering, vol. 5, pp. 656-660, 2009.
10. Chien-Cheng Lee, Yu-Chun Chiang, and Cheng-Yuan Shih, “Subject
Caption Detection in News Video with Complex Picture,” WRI World
Congress Conference on Computer Science and Information Engineering,
vol. 6, pp. 426-430, 2009.
11. Chien-Cheng Lee, Shin-Sheng Huang, and Cheng-Yuan Shih, “Facial
Expression Recognition by a novel Regularized discriminant analysis with
AdaBoost,” IEEE International Conference on Innovative Computing,
Information and Control, 2009.
12. Chien-Cheng Lee and Cheng-Yuan Shih, “Gabor Feature Selection and
Improved Radial Basis Function Networks for Facial Expression
Recognition,” IEEE International Conference on Information Science and
Applications, pp. 1-8, 2010.
13. Chien-Cheng Lee and Cheng-Yuan Shih, “Gabor Feature Selection for
Facial Expression Recognition,” IEEE International Conference on Signals
and Electronic Systems, 2010.
Magazine:
1. 李建誠、施正遠, “多媒體行動通訊時代 – 通用行動通信系統 與 IP 多
媒體子系統”, e 科技雜誌, vol.46 pp. 33-42, 2004
2. 李建誠、陳思翰、施正遠, “利用 GPS 與 GPRS 之車輛定位系統之實作”,
e 科技雜誌, vol.59 pp. 29-35, 2005
Patents:
1. 李建誠, 施正遠, 酈頤芳, 彭松村, 鄭伯順, 許志弘, 彭鉦堡, “手部軌跡
辨識系統及其方法”, 發明專利, 專利號 I426420
2. 李建誠,施正遠,”多點協同遠距醫療會診系統”,申請號 096117158 (優
先權放棄申覆)

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Publication list

  • 1. Journal papers: 1. C. C. Lee, Y. C. Chiang, C. Y. Shih, and C. L. Tsai, “Noisy time series prediction using M-estimator based robust radial basis function neural networks with growing and pruning techniques” Expert Systems with Applications. vol. 36, pp. 4717–4724, 2009. (SCI) 2. Chien-Cheng Lee, Cheng-Yuan Shih, and Hao-Ming Huang, “Story Related Caption Detection and Localization in News Video,” Optical Engineering, Vol. 48, No. 3, 037005, 2009. (SCI) 3. Chien-Cheng Lee and Cheng-Yuan Shih, “Learning Patterns of Liver Masses using Improved RBF Networks,” Biomedical Engineering: Applications, Basis and Communications, vol. 22, no. 2, pp. 137-147, 2010. (SCI) 4. Chien-Cheng Lee, Shin-Sheng Huang, and Cheng-Yuan Shih, “Facial Affect Recognition Using Regularized Discriminant Analysis-Based,” EURASIP Journal on Advances in Signal Processing, vol. 2010, 2010. (SCI) 5. Chien-Cheng Lee, Cheng-Yuan Shih, Chih-Chang Yu, Wei-Ru Lai, and Bor-Shenn Jeng, “Vision-Based Fingertip-Writing Character Recognition,” The Journal of Signal Processing Systems, 2010. (SCI) 6. Chien-Cheng Lee, Cheng-Yuan Shih, Shih-Kai Lee, and Wei-Tyng Hong, “Enhancement of Blood Vessels in Retinal Imaging Using the Nonsubsampled Contourlet Transform,” Multidimensional Systems and Signal Processing, vol. 23, no. 4, pp. 423-436, 2012. (SCI) 7. Chien-Cheng Lee, Cheng-Yuan Shih, Wen-Ping Lai, and Po-Chiang Lin, “An Improved Boosting Algorithm and Its application to Facial Emotion Recognition,” Journal of Ambient Intelligence and Humanized Computing, vol.3, no.1, pp. 11-17, 2012. Conference papers: 1. Chien-Cheng Lee and Cheng-Yuan Shih, “An adaptive multimedia transmission control for telemedicine applications,” International Computer Symposiums, pp. 467-470, 2004. 2. Chien-Cheng Lee and Cheng-Yuan Shih, “A streaming management CSCW consultation system for telemedicine,” International Conference on Information Technology: Research and Education, pp. 303-306, 2005. 3. C. C. Lee, C. L. Tsai, Y. C. Chiang, and C. Y. Shih, “M-estimator based robust radial basis function neural networks with growing and pruning techniques,” International Computer Symposiums, vol. 3, pp. 1065-1069, 2006.
  • 2. 4. C. Y. Shih and C. C. Lee, “A robust time series prediction using RBF network with sigmoid kernel function and M-estimator,” Conference on Artificial Intelligence and Applications, pp. 560-564, 2007. 5. C. C. Lee and C. Y. Shih, “Time series prediction using robust radial basis function with two-stage learning rule,” IEEE International Conference on Tools with Artificial Intelligence, vol. 2, pp. 382-387, 2007. 6. Chien-Cheng Lee, Hao-Ming Huang, and Cheng-Yuan Shih, ”A texture-based method for caption localization and detection in news video,” in Proceeding of 2007 Computer Vision, Graphics and Image Processing Conference (CVGIP 2007), Miaoli, Taiwan, Aug. 19-21, 2007, pp.588-594. 7. Chien-Cheng Lee, Yu-Chun Chiang, Cheng-Yuan Shih, and Hau-Ming Huang, “Caption localization and detection for news videos using frequency analysis and wavelet features,” IEEE International Conference on Tools with Artificial Intelligence, vol. 2, pp. 539-542, 2007. 8. Chien-Cheng Lee, Yu-Chun Chiang, and Cheng-Yuan Shih, and Wen- Sheng Hu, “Image thresholding using mean-shift based particle swarm optimization,” International Conference on Intelligent Systems Design and Applications, vol. 1, pp. 65-70, 2008. 9. Chien-Cheng Lee and Cheng-Yuan Shih, “Classification of Liver Disease from CT Images Using a Sigmoidal Radial Basis Function Neural Network with Growing and Pruning Algorithm,” WRI World Congress Conference on Computer Science and Information Engineering, vol. 5, pp. 656-660, 2009. 10. Chien-Cheng Lee, Yu-Chun Chiang, and Cheng-Yuan Shih, “Subject Caption Detection in News Video with Complex Picture,” WRI World Congress Conference on Computer Science and Information Engineering, vol. 6, pp. 426-430, 2009. 11. Chien-Cheng Lee, Shin-Sheng Huang, and Cheng-Yuan Shih, “Facial Expression Recognition by a novel Regularized discriminant analysis with AdaBoost,” IEEE International Conference on Innovative Computing, Information and Control, 2009. 12. Chien-Cheng Lee and Cheng-Yuan Shih, “Gabor Feature Selection and Improved Radial Basis Function Networks for Facial Expression Recognition,” IEEE International Conference on Information Science and Applications, pp. 1-8, 2010. 13. Chien-Cheng Lee and Cheng-Yuan Shih, “Gabor Feature Selection for Facial Expression Recognition,” IEEE International Conference on Signals and Electronic Systems, 2010.
  • 3. Magazine: 1. 李建誠、施正遠, “多媒體行動通訊時代 – 通用行動通信系統 與 IP 多 媒體子系統”, e 科技雜誌, vol.46 pp. 33-42, 2004 2. 李建誠、陳思翰、施正遠, “利用 GPS 與 GPRS 之車輛定位系統之實作”, e 科技雜誌, vol.59 pp. 29-35, 2005 Patents: 1. 李建誠, 施正遠, 酈頤芳, 彭松村, 鄭伯順, 許志弘, 彭鉦堡, “手部軌跡 辨識系統及其方法”, 發明專利, 專利號 I426420 2. 李建誠,施正遠,”多點協同遠距醫療會診系統”,申請號 096117158 (優 先權放棄申覆)