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Michael S. Lewicki
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2010 – 2019
- 2014
- [j10]Eizaburo Doi
, Michael S. Lewicki:
A Simple Model of Optimal Population Coding for Sensory Systems. PLoS Comput. Biol. 10(8) (2014) - 2011
- [j9]Eizaburo Doi
, Michael S. Lewicki:
Characterization of Minimum Error Linear Coding with Sensory and Neural Noise. Neural Comput. 23(10): 2498-2510 (2011)
2000 – 2009
- 2009
- [c14]Doru-Cristian Balcan, Michael S. Lewicki:
Adaptive coding of images via multiresolution ICA. ICASSP 2009: 1021-1024 - 2007
- [j8]Eizaburo Doi
, Doru-Cristian Balcan, Michael S. Lewicki:
Robust Coding Over Noisy Overcomplete Channels. IEEE Trans. Image Process. 16(2): 442-452 (2007) - 2006
- [c13]Eizaburo Doi, Michael S. Lewicki:
A Theory of Retinal Population Coding. NIPS 2006: 353-360 - 2005
- [j7]Evan Smith, Michael S. Lewicki:
Efficient Coding of Time-Relative Structure Using Spikes. Neural Comput. 17(1): 19-45 (2005) - [j6]Yan Karklin, Michael S. Lewicki:
A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Comput. 17(2): 397-423 (2005) - [c12]Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki:
A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. NIPS 2005: 307-314 - [c11]Yan Karklin, Michael S. Lewicki:
Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS 2005: 635-642 - 2004
- [c10]Eizaburo Doi, Michael S. Lewicki:
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. NIPS 2004: 377-384 - [c9]Evan C. Smith, Michael S. Lewicki:
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. NIPS 2004: 1289-1296 - 2002
- [j5]Te-Won Lee, Michael S. Lewicki:
Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Trans. Image Process. 11(3): 270-279 (2002) - [c8]Yan Karklin, Michael S. Lewicki:
A Model for Learning Variance Components of Natural Images. NIPS 2002: 1367-1374 - 2000
- [j4]Michael S. Lewicki, Terrence J. Sejnowski:
Learning Overcomplete Representations. Neural Comput. 12(2): 337-365 (2000) - [j3]Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000) - [c7]Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki:
Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS 2000: 887-893
1990 – 1999
- 1999
- [j2]Te-Won Lee, Michael S. Lewicki, Mark A. Girolami
, Terrence J. Sejnowski:
Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. 6(4): 87-90 (1999) - 1998
- [c6]Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514 - [c5]Michael S. Lewicki, Terrence J. Sejnowski:
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS 1998: 730-736 - 1997
- [c4]Michael S. Lewicki, Bruno A. Olshausen:
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS 1997 - [c3]Michael S. Lewicki, Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS 1997: 556-562 - 1996
- [c2]Michael S. Lewicki, Terrence J. Sejnowski:
Bayesian Unsupervised Learning of Higher Order Structure. NIPS 1996: 529-535 - 1994
- [j1]Michael S. Lewicki:
Bayesian Modeling and Classification of Neural Signals. Neural Comput. 6(5): 1005-1030 (1994) - 1993
- [c1]Michael S. Lewicki:
Bayesian Modeling and Classification of Neural Signals. NIPS 1993: 590-597
Coauthor Index
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