Tai Sing Lee

	2012
23		Xiong Li, Tai Sing Lee, Yuncai Liu: Stochastic Feature Mapping for PAC-Bayes Classification CoRR abs/1204.2609: (2012)
	2011
22		Xiong Li, Tai Sing Lee, Yuncai Liu: Hybrid generative-discriminative classification using posterior divergence. CVPR 2011: 2713-2720
	2010
21		Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee: Accounting for network effects in neuronal responses using L1 regularized point process models. NIPS 2010: 1099-1107
20		Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee: Local field potentials indicate network state and account for neuronal response variability. Journal of Computational Neuroscience 29(3): 567-579 (2010)
	2009
19		Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee: The Block Diagonal Infinite Hidden Markov Model. Journal of Machine Learning Research - Proceedings Track 5: 552-559 (2009)
	2008
18		Brian Potetz, Tai Sing Lee: Efficient belief propagation for higher-order cliques using linear constraint nodes. Computer Vision and Image Understanding 112(1): 39-54 (2008)
	2006
17		Jason M. Samonds, Brian Potetz, Tai Sing Lee: Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation. NIPS 2006: 1201-1208
	2005
16		Brian Potetz, Tai Sing Lee: Scaling Laws in Natural Scenes and the Inference of 3D Shape. NIPS 2005
15		Thomas S. Stepleton, Tai Sing Lee: Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video. WACV/MOTION 2005: 129-134
14		Yuguo Yu, Tai Sing Lee: Adaptive contrast gain control and information maximization. Neurocomputing 65-66: 111-116 (2005)
	2003
13		Ryan C. Kelly, Tai Sing Lee: Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels. NIPS 2003
12		Richard Romero, Yuguo Yu, Pedram Afshar, Tai Sing Lee: Adaptation of the temporal receptive fields of macaque V1 neurons. Neurocomputing 52-54: 135-140 (2003)
11		Yuguo Yu, Tai Sing Lee: Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model. Neurocomputing 52-54: 441-445 (2003)
	2002
10		Richard Romero, Tai Sing Lee: Spike train analysis for single trial data. Neurocomputing 44-46: 597-603 (2002)
9		Gustavo Deco, Tai Sing Lee: A unified model of spatial and object attention based on inter-cortical biased competition. Neurocomputing 44-46: 775-781 (2002)
	2001
8		Stella X. Yu, Tai Sing Lee, Takeo Kanade: A Hierarchical Markov Random Field Model for Figure-Ground Segregation. EMMCVPR 2001: 118-133
	2000
7		Elise Cassidente, Xiaogang Yan, Tai Sing Lee: A Bayesian decision approach to evaluate local and contextual information in spike trains. Neurocomputing 32-33: 1013-1020 (2000)
6		Stella X. Yu, Tai Sing Lee: What do V1 neurons tell us about saccadic suppression? Neurocomputing 32-33: 271-277 (2000)
	1999
5		Tai Sing Lee, Stella X. Yu: An Information-Theoretic Framework for Understanding Saccadic Eye Movements. NIPS 1999: 834-840
	1996
4		Tai Sing Lee: Image Representation Using 2D Gabor Wavelets. IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 959-971 (1996)
	1995
3		Song Chun Zhu, Tai Sing Lee, Alan L. Yuille: Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV 1995: 416-
	1994
2		Tai Sing Lee: Representational Strategy in the Visual Cortex. ICIP (2) 1994: 590-594
	1992
1		Tai Sing Lee, David Mumford, Alan L. Yuille: Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. ECCV 1992: 165-173

Coauthor Index

1	Pedram Afshar	[12]
2	Elise Cassidente	[7]
3	Gustavo Deco	[9]
4	Zoubin Ghahramani	[19]
5	Geoffrey J. Gordon	[19]
6	Takeo Kanade	[8]
7	Robert E. Kass	[20] [21]
8	Ryan C. Kelly	[13] [20] [21]
9	Xiong Li	[22] [23]
10	Yuncai Liu	[22] [23]
11	David Mumford	[1]
12	Brian Potetz	[16] [17] [18]
13	Richard Romero	[10] [12]
14	Jason M. Samonds	[17]
15	Matthew A. Smith	[20] [21]
16	Thomas S. Stepleton	[15] [19]
17	Xiaogang Yan	[7]
18	Stella X. Yu	[5] [6] [8]
19	Yuguo Yu	[11] [12] [14]
20	Alan L. Yuille	[1] [3]
21	Song Chun Zhu	[3]

Colors in the list of coauthors

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