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Daniel D. Lee: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


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