Daniel D. Lee
Daniel D. Lee
Tisch University Professor of ECE, Cornell University
Verified email at - Homepage
Cited by
Cited by
Learning the parts of objects by non-negative matrix factorization
DD Lee, HS Seung
nature 401 (6755), 788-791, 1999
Algorithms for non-negative matrix factorization
D Lee, HS Seung
Advances in neural information processing systems 13, 2000
Advances in neural information processing systems 22
DD Lee, P Pham, Y Largman, A Ng
Tech. Rep, 2009
The manifold ways of perception
HS Seung, DD Lee
science 290 (5500), 2268-2269, 2000
Grassmann discriminant analysis: a unifying view on subspace-based learning
J Hamm, DD Lee
Proceedings of the 25th international conference on Machine learning, 376-383, 2008
A kernel view of the dimensionality reduction of manifolds
J Ham, DD Lee, S Mika, B Schölkopf
Proceedings of the twenty-first international conference on Machine learning, 47, 2004
System and method for providing interactive dialogue and iterative search functions to find information
KG August, CS Chuang, M McNerney, EA Shriver, M Hansen, PW Ong, ...
US Patent 6,647,383, 2003
Stability of the memory of eye position in a recurrent network of conductance-based model neurons
HS Seung, DD Lee, BY Reis, DW Tank
Neuron 26 (1), 259-271, 2000
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
Equilibrium properties of temporally asymmetric Hebbian plasticity
J Rubin, DD Lee, H Sompolinsky
Physical review letters 86 (2), 364, 2001
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semisupervised alignment of manifolds
J Ham, D Lee, L Saul
International Workshop on Artificial Intelligence and Statistics, 120-127, 2005
Learning optimal resource allocations in wireless systems
M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro
IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019
Approximating explicit model predictive control using constrained neural networks
S Chen, K Saulnier, N Atanasov, DD Lee, V Kumar, GJ Pappas, M Morari
2018 Annual American control conference (ACC), 1520-1527, 2018
Little ben: The ben franklin racing team's entry in the 2007 DARPA urban challenge
J Bohren, T Foote, J Keller, A Kushleyev, D Lee, A Stewart, P Vernaza, ...
Journal of Field Robotics 25 (9), 598-614, 2008
Advances in neural information processing systems
K Sohn, H Lee, X Yan, C Cortes, N Lawrence, D Lee
Neural Information Processing Systems Foundation, Curran Associates, Inc …, 2015
Curran Associates
C Cortes, ND Lawrence, DD Lee, M Sugiyama, R Garnett
Inc.: Red Hook, NY, USA 28, 1135-1143, 2015
Unsupervised learning by convex and conic coding
D Lee, HS Seung
Advances in neural information processing systems 9, 1996
Short-term memory in orthogonal neural networks
OL White, DD Lee, H Sompolinsky
Physical review letters 92 (14), 148102, 2004
Proceedings of the 30th International Conference on Neural Information Processing Systems
DD Lee, U von Luxburg, R Garnett, M Sugiyama, I Guyon
Curran Associates Inc., 2016
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