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All publications by Daniel D. Lee
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"Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss"
Zhuo Wang, Alan Stocker and Daniel D. Lee
Advances in Neural Information Processing Systems 25, 2012


Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-kyun Noh, Frank Park and Daniel D. Lee
Advances in Neural Information Processing Systems 25, 2012


Generative Local Metric Learning for Nearest Neighbor Classification
Yung-kyun Noh, Byoung-tak Zhang and Daniel D. Lee
Advances in Neural Information Processing Systems 23, 2010


Learning via Gaussian Herding
Koby Crammer and Daniel D. Lee
Advances in Neural Information Processing Systems 23, 2010


Fluid Dynamics Models for Low Rank Discriminant Analysis
Yung-kyun Noh, Byoung-tak Zhang and Daniel D. Lee
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee and Ben Taskar
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Grassmann discriminant analysis: a unifying view on subspace-based learning
Jihun Ham and Daniel D. Lee
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm and Daniel D. Lee
Advances in Neural Information Processing Systems 21, 2008


Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim and Daniel D. Lee
Advances in Neural Information Processing Systems 20, 2007


Beyond Gaussian Processes: On the Distributions of Infinite Networks
Ricky Der and Daniel D. Lee
Advances in Neural Information Processing Systems 18, 2005


A kernel view of the dimensionality reduction of manifolds
Jihun Ham, Daniel D. Lee, Sebastian Mika and Bernhard Schölkopf
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Yuanqing Lin and Daniel D. Lee
Advances in Neural Information Processing Systems 17, 2004


Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch
Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell and Yann L. Cun
Advances in Neural Information Processing Systems 15, 2002


Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines
Fei Sha, Lawrence K. Saul and Daniel D. Lee
Advances in Neural Information Processing Systems 15, 2002


Multiplicative Updates for Classification by Mixture Models
Lawrence K. Saul and Daniel D. Lee
Advances in Neural Information Processing Systems 14, 2001