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David P. Wipf
Author information
- affiliation: Microsoft Research Asia, Visual Computing Group
- affiliation: University of California, San Francisco, Biomagnetic Imaging Lab
- affiliation: University of California, San Diego, Digital Signal Processing Lab
2010 – today
- 2013
[i4]- 2012
- [j8]Julia P. Owen, David P. Wipf, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan: Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data. NeuroImage 60(1): 305-323 (2012)
- [c16]Satoshi Ikehata, David P. Wipf, Yasuyuki Matsushita, Kiyoharu Aizawa: Robust photometric stereo using sparse regression. CVPR 2012: 318-325
- [c15]Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg: Learning sparse covariance patterns for natural scenes. CVPR 2012: 2767-2774
- [c14]
- [c13]
- [i3]
- [i2]David P. Wipf: Non-Convex Rank Minimization via an Empirical Bayesian Approach. CoRR abs/1207.2440 (2012)
- [i1]Haichao Zhang, David P. Wipf, Yanning Zhang: Image Super-Resolution via Sparse Bayesian Modeling of Natural Images. CoRR abs/1209.4317 (2012)
- 2011
- [j7]David P. Wipf, Bhaskar D. Rao, Srikantan S. Nagarajan: Latent Variable Bayesian Models for Promoting Sparsity. IEEE Transactions on Information Theory 57(9): 6236-6255 (2011)
- [c12]
- 2010
- [j6]David P. Wipf, Srikantan S. Nagarajan: Iterative Reweighted 1 and 2 Methods for Finding Sparse Solutions. J. Sel. Topics Signal Processing 4(2): 317-329 (2010)
- [j5]David P. Wipf, Julia P. Owen, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan: Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage 49(1): 641-655 (2010)
- [c11]Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan: Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI 2010: 157-164
2000 – 2009
- 2009
- [j4]David P. Wipf, Srikantan S. Nagarajan: A unified Bayesian framework for MEG/EEG source imaging. NeuroImage 44(3): 947-966 (2009)
- [c10]Julia P. Owen, David P. Wipf, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan: Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data. ISBI 2009: 1271-1274
- [c9]David P. Wipf, Srikantan S. Nagarajan: Sparse Estimation Using General Likelihoods and Non-Factorial Priors. NIPS 2009: 2071-2079
- 2008
- [c8]David P. Wipf, Julia P. Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan: Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. NIPS 2008: 1777-1784
- 2007
- [j3]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)
- [j2]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)
- [c7]David P. Wipf, Srikantan S. Nagarajan: Beamforming using the relevance vector machine. ICML 2007: 1023-1030
- [c6]
- 2006
- [c5]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
- [c4]Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Variational EM Algorithms for Non-Gaussian Latent Variable Models. NIPS 2005
- [c3]David P. Wipf, Bhaskar D. Rao: Comparing the Effects of Different Weight Distributions on Finding Sparse Representations. NIPS 2005
- 2004
- [j1]David P. Wipf, Bhaskar D. Rao: Sparse Bayesian learning for basis selection. IEEE Transactions on Signal Processing 52(8): 2153-2164 (2004)
- [c2]
- 2003
- [c1]
Coauthor Index
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last updated on 2013-06-03 20:13 CEST by the dblp team