Yuh-Jye Lee

	2012
20		Ding-Jie Huang, Kai-Ting Yang, Chien-Chun Ni, Wei-Chung Teng, Tien-Ruey Hsiang, Yuh-Jye Lee: Clock Skew Based Client Device Identification in Cloud Environments. AINA 2012: 526-533
19		Chien-Chung Chang, Hsing-Kuo Pao, Yuh-Jye Lee: An RSVM based two-teachers-one-student semi-supervised learning algorithm. Neural Networks 25: 57-69 (2012)
	2011
18		Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, Yu-Chiang Frank Wang: Locality-constrained group sparse representation for robust face recognition. ICIP 2011: 761-764
17		Yi-Cheng Tseng, Yuh-Jye Lee: Rank-r Updating Techniques for Fast Exact Cross-Validation. Industrial Conference on Data Mining - Poster and Industry Proceedings 2011: 54-67
16		Chih-Cheng Chang, Li-Jen Chien, Yuh-Jye Lee: A novel framework for multi-class classification via ternary smooth support vector machine. Pattern Recognition 44(6): 1235-1244 (2011)
	2010
15		Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo, Hsiu-Chuan Huang: Semi-supervised Learning for False Alarm Reduction. ICDM 2010: 595-605
14		Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Cheng Chang: Robust 1-Norm Soft Margin Smooth Support Vector Machine. IDEAL 2010: 145-152
13		Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee: Variant Methods of Reduced Set Selection for Reduced Support Vector Machines. J. Inf. Sci. Eng. 26(1): 183-196 (2010)
12		Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang: Multiclass support vector classification via coding and regression. Neurocomputing 73(7-9): 1501-1512 (2010)
	2009
11		Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, Yuh-Jye Lee: Periodic Step Size Adaptation for Single Pass On-line Learning. NIPS 2009: 763-771
10		Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee: Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression. IEEE Trans. Knowl. Data Eng. 21(11): 1590-1603 (2009)
9		Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang, Yuh-Jye Lee: Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. Machine Learning 77(2-3): 195-224 (2009)
	2007
8		Tsong Song Hwang, Tsung-Ju Lee, Yuh-Jye Lee: A three-tier IDS via data mining approach. MineNet 2007: 1-6
7		Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang: Model selection for support vector machines via uniform design. Computational Statistics & Data Analysis 52(1): 335-346 (2007)
6		Yuh-Jye Lee, Su-Yun Huang: Reduced Support Vector Machines: A Statistical Theory. IEEE Transactions on Neural Networks 18(1): 1-13 (2007)
	2006
5		Yuh-Jye Lee, Yi-Ren Yeh: Ranking the Rules and Instances of Decision Trees. Industrial Conference on Data Mining - Posters 2006: 67-78
	2005
4		Hsing-Kuo Pao, Shou-Chih Chang, Yuh-Jye Lee: Model Trees for Classification of Hybrid Data Types. IDEAL 2005: 32-39
3		Yuh-Jye Lee, Wen-Feng Hsieh, Chien-Ming Huang: epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression. IEEE Trans. Knowl. Data Eng. 17(5): 678-685 (2005)
	2004
2		Lih-Ren Jen, Yuh-Jye Lee: Clustering Model Selection for Reduced Support Vector Machines. IDEAL 2004: 714-719
1		Chien-Chung Chang, Yuh-Jye Lee: Generating the Reduced Set by Systematic Sampling. IDEAL 2004: 720-725

Coauthor Index

1	Chien-Chung Chang	[1] [13] [15] [19]
2	Chih-Cheng Chang	[14] [16]
3	Shou-Chih Chang	[4]
4	Yu-Ming Chang	[9] [11]
5	Yu-Wei Chao	[18]
6	Pei-Chun Chen	[12]
7	Yu-Wen Chen	[18]
8	Li-Jen Chien	[13] [14] [16]
9	Chien-Yi Chiu	[15]
10	Tien-Ruey Hsiang	[20]
11	Wen-Feng Hsieh	[3]
12	Chun-Nan Hsu	[9] [11]
13	Ding-Jie Huang	[20]
14	Han-Shen Huang	[9] [11]
15	Hsiu-Chuan Huang	[15]
16	Su-Yun Huang	[6] [7] [10] [12]
17	Chien-Ming Huang	[3] [7]
18	Tsong Song Hwang	[8]
19	Lih-Ren Jen	[2]
20	Zhi-Peng Kao	[14]
21	Kuang-Yao Lee	[12]
22	Tsung-Ju Lee	[8] [12]
23	Dennis K. J. Lin	[7]
24	Wen-Yang Luo	[15]
25	Chien-Chun Ni	[20]
26	Hsing-Kuo Kenneth Pao (Hsing-Kuo Pao)	[4] [19]
27	Wei-Chung Teng	[20]
28	Yi-Cheng Tseng	[17]
29	Yu-Chiang Frank Wang	[18]
30	Kai-Ting Yang	[20]
31	Yi-Ren Yeh	[5] [10] [18]

Colors in the list of coauthors

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page