| 2007 |
|---|
| 9 | EE | David P. Wipf,
Srikantan Nagarajan:
Beamforming using the relevance vector machine.
ICML 2007: 1023-1030 |
| 8 | EE | David P. Wipf,
Srikantan Nagarajan:
A New View of Automatic Relevance Determination.
NIPS 2007 |
| 7 | EE | Joel C. McCall,
David P. Wipf,
Mohan M. Trivedi,
Bhaskar D. Rao:
Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning.
IEEE Transactions on Intelligent Transportation Systems 8(3): 431-440 (2007) |
| 6 | EE | David P. Wipf,
Bhaskar D. Rao:
An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem.
IEEE Transactions on Signal Processing 55(7-2): 3704-3716 (2007) |
| 2006 |
|---|
| 5 | EE | David P. Wipf,
Rey Ramírez,
Jason A. Palmer,
Scott Makeig,
Bhaskar D. Rao:
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization.
NIPS 2006: 1505-1512 |
| 2005 |
|---|
| 4 | EE | David P. Wipf,
Bhaskar D. Rao:
Comparing the Effects of Different Weight Distributions on Finding Sparse Representations.
NIPS 2005 |
| 3 | EE | Jason A. Palmer,
David P. Wipf,
Kenneth Kreutz-Delgado,
Bhaskar D. Rao:
Variational EM Algorithms for Non-Gaussian Latent Variable Models.
NIPS 2005 |
| 2004 |
|---|
| 2 | EE | David P. Wipf,
Bhaskar D. Rao:
L_0-norm Minimization for Basis Selection.
NIPS 2004 |
| 2003 |
|---|
| 1 | EE | David P. Wipf,
Jason A. Palmer,
Bhaskar D. Rao:
Perspectives on Sparse Bayesian Learning.
NIPS 2003 |
