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Publications of Author

1. Fei Sha, Lawrence K. Saul, Daniel D. Lee
   Multiplicative Updates for Large Margin Classifiers. [Citation Graph (0, 0)][DBLP]
   COLT, 2003, pp:188-202 [Conf]
   
2. Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
   A kernel view of the dimensionality reduction of manifolds. [Citation Graph (0, 0)][DBLP]
   ICML, 2004, pp:- [Conf]
   
3. Oliver B. Downs, David J. C. MacKay, Daniel D. Lee
   The Nonnegative Boltzmann Machine. [Citation Graph (0, 0)][DBLP]
   NIPS, 1999, pp:428-434 [Conf]
   
4. Daniel D. Lee, Uri Rokni, Haim Sompolinsky
   Algorithms for Independent Components Analysis and Higher Order Statistics. [Citation Graph (0, 0)][DBLP]
   NIPS, 1999, pp:491-497 [Conf]
   
5. Daniel D. Lee, H. Sebastian Seung
   Algorithms for Non-negative Matrix Factorization. [Citation Graph (0, 0)][DBLP]
   NIPS, 2000, pp:556-562 [Conf]
   
6. Daniel D. Lee, H. Sebastian Seung
   Unsupervised Learning by Convex and Conic Coding. [Citation Graph (0, 0)][DBLP]
   NIPS, 1996, pp:515-521 [Conf]
   
7. Daniel D. Lee, H. Sebastian Seung
   A Neural Network Based Head Tracking System. [Citation Graph (0, 0)][DBLP]
   NIPS, 1997, pp:- [Conf]
   
8. Daniel D. Lee, Haim Sompolinsky
   Learning a Continuous Hidden Variable Model for Binary Data. [Citation Graph (0, 0)][DBLP]
   NIPS, 1998, pp:515-521 [Conf]
   
9. Yuanqing Lin, Daniel D. Lee
   Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
10. Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Classification by Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:897-904 [Conf]
    
11. Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell, Yann LeCun
    Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1181-1188 [Conf]
    
12. Oren Shriki, Haim Sompolinsky, Daniel D. Lee
    An Information Maximization Approach to Overcomplete and Recurrent Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:612-618 [Conf]
    
13. Fei Sha, Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1041-1048 [Conf]
    
14. Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung
    The Rectified Gaussian Distribution. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
    
15. H. Sebastian Seung, Daniel D. Lee, Ben Y. Reis, David W. Tank
    The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 2000, v:9, n:2, pp:171-185 [Journal]
    
16. Sachin Chitta, Paul Vemaza, Roman Geykhman, Daniel D. Lee
    Proprioceptive localilzatilon for a quadrupedal robot on known terrain. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:4582-4587 [Conf]
    
17. 
    Online Learning of Uneven Terrain for Humanoid Bipedal Walking. [Citation Graph (, )][DBLP]
    
    
18. 
    Grassmann discriminant analysis: a unifying view on subspace-based learning. [Citation Graph (, )][DBLP]
    
    
19. 
    Regularized discriminant analysis for transformation-invariant object recognition. [Citation Graph (, )][DBLP]
    
    
20. 
    Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors. [Citation Graph (, )][DBLP]
    
    
21. 
    Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. [Citation Graph (, )][DBLP]
    
    
22. 
    Search-based planning for a legged robot over rough terrain. [Citation Graph (, )][DBLP]
    
    
23. 
    Scalable real-time object recognition and segmentation via cascaded, discriminative Markov random fields. [Citation Graph (, )][DBLP]
    
    
24. 
    Learning and planning high-dimensional physical trajectories via structured Lagrangians. [Citation Graph (, )][DBLP]
    
    
25. 
    Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation. [Citation Graph (, )][DBLP]
    
    
26. 
    Extended Grassmann Kernels for Subspace-Based Learning. [Citation Graph (, )][DBLP]
    
    
27. 
    Learning a Warped Subspace Model of Faces with Images of Unknown Pose and Illumination. [Citation Graph (, )][DBLP]
    
    
28. 
    Little Ben: The Ben Franklin Racing Team's Entry in the 2007 DARPA Urban Challenge. [Citation Graph (, )][DBLP]