2008 |
26 | EE | Jihun Ham,
Daniel D. Lee:
Grassmann discriminant analysis: a unifying view on subspace-based learning.
ICML 2008: 376-383 |
25 | EE | Yung-Kyun Noh,
Jihun Ham,
Daniel D. Lee:
Regularized discriminant analysis for transformation-invariant object recognition.
ICPR 2008: 1-5 |
24 | EE | Paul Vernaza,
Ben Taskar,
Daniel D. Lee:
Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields.
ICRA 2008: 2750-2757 |
23 | EE | Jihun Ham,
Daniel D. Lee:
Extended Grassmann Kernels for Subspace-Based Learning.
NIPS 2008: 601-608 |
22 | | Jihun Ham,
Daniel D. Lee:
Learning a Warped Subspace Model of Faces with Images of Unknown Pose and Illumination.
VISAPP (1) 2008: 219-226 |
21 | EE | Jonathan Bohren,
Tully Foote,
Jim Keller,
Alex Kushleyev,
Daniel D. Lee,
Alex Stewart,
Paul Vernaza,
Jason C. Derenick,
John R. Spletzer,
Brian Satterfield:
Little Ben: The Ben Franklin Racing Team's entry in the 2007 DARPA Urban Challenge.
J. Field Robotics 25(9): 598-614 (2008) |
2007 |
20 | EE | Sachin Chitta,
Paul Vemaza,
Roman Geykhman,
Daniel D. Lee:
Proprioceptive localilzatilon for a quadrupedal robot on known terrain.
ICRA 2007: 4582-4587 |
19 | EE | Fei Sha,
Yuanqing Lin,
Lawrence K. Saul,
Daniel D. Lee:
Multiplicative Updates for Nonnegative Quadratic Programming.
Neural Computation 19(8): 2004-2031 (2007) |
2006 |
18 | | Paul Vernaza,
Daniel D. Lee:
Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors.
ICRA 2006: 1571-1578 |
17 | EE | Paul Vernaza,
Daniel D. Lee:
Robust GPS/INS-Aided Localization and Mapping Via GPS Bias Estimation.
ISER 2006: 101-110 |
16 | EE | Yuanqing Lin,
Daniel D. Lee:
Bayesian regularization and nonnegative deconvolution for room impulse response estimation.
IEEE Transactions on Signal Processing 54(3): 839-847 (2006) |
2004 |
15 | EE | Jihun Ham,
Daniel D. Lee,
Sebastian Mika,
Bernhard Schölkopf:
A kernel view of the dimensionality reduction of manifolds.
ICML 2004 |
14 | EE | Yuanqing Lin,
Daniel D. Lee:
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation.
NIPS 2004 |
2003 |
13 | EE | Fei Sha,
Lawrence K. Saul,
Daniel D. Lee:
Multiplicative Updates for Large Margin Classifiers.
COLT 2003: 188-202 |
2002 |
12 | EE | Fei Sha,
Lawrence K. Saul,
Daniel D. Lee:
Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines.
NIPS 2002: 1041-1048 |
11 | EE | Lawrence K. Saul,
Daniel D. Lee,
Charles L. Isbell,
Yann LeCun:
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch.
NIPS 2002: 1181-1188 |
2001 |
10 | EE | Lawrence K. Saul,
Daniel D. Lee:
Multiplicative Updates for Classification by Mixture Models.
NIPS 2001: 897-904 |
2000 |
9 | | Daniel D. Lee,
H. Sebastian Seung:
Algorithms for Non-negative Matrix Factorization.
NIPS 2000: 556-562 |
8 | | Oren Shriki,
Haim Sompolinsky,
Daniel D. Lee:
An Information Maximization Approach to Overcomplete and Recurrent Representations.
NIPS 2000: 612-618 |
7 | | 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.
Journal of Computational Neuroscience 9(2): 171-185 (2000) |
1999 |
6 | EE | Oliver B. Downs,
David J. C. MacKay,
Daniel D. Lee:
The Nonnegative Boltzmann Machine.
NIPS 1999: 428-434 |
5 | EE | Daniel D. Lee,
Uri Rokni,
Haim Sompolinsky:
Algorithms for Independent Components Analysis and Higher Order Statistics.
NIPS 1999: 491-497 |
1998 |
4 | EE | Daniel D. Lee,
Haim Sompolinsky:
Learning a Continuous Hidden Variable Model for Binary Data.
NIPS 1998: 515-521 |
1997 |
3 | | Daniel D. Lee,
H. Sebastian Seung:
A Neural Network Based Head Tracking System.
NIPS 1997 |
2 | | Nicholas D. Socci,
Daniel D. Lee,
H. Sebastian Seung:
The Rectified Gaussian Distribution.
NIPS 1997 |
1996 |
1 | EE | Daniel D. Lee,
H. Sebastian Seung:
Unsupervised Learning by Convex and Conic Coding.
NIPS 1996: 515-521 |