Michael S. Lewicki

Publication Activity (10 Years)

Years Active: 1993-2014
Publications (10 Years): 0

Top Topics

Image Reconstruction

Computer Vision

Top Venues

PLoS Comput. Biol.

Publications

Eizaburo Doi, Michael S. Lewicki
A Simple Model of Optimal Population Coding for Sensory Systems. PLoS Comput. Biol. 10 (8) (2014)
Eizaburo Doi, Michael S. Lewicki
Characterization of Minimum Error Linear Coding with Sensory and Neural Noise. Neural Comput. 23 (10) (2011)
Doru-Cristian Balcan, Michael S. Lewicki
Adaptive coding of images via multiresolution ICA. ICASSP (2009)
Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki
Robust Coding Over Noisy Overcomplete Channels. IEEE Trans. Image Process. 16 (2) (2007)
Eizaburo Doi, Michael S. Lewicki
A Theory of Retinal Population Coding. NIPS (2006)
Evan Smith, Michael S. Lewicki
Efficient Coding of Time-Relative Structure Using Spikes. Neural Comput. 17 (1) (2005)
Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki
A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. NIPS (2005)
Yan Karklin, Michael S. Lewicki
Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS (2005)
Yan Karklin, Michael S. Lewicki
A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Comput. 17 (2) (2005)
Eizaburo Doi, Michael S. Lewicki
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. NIPS (2004)
Evan C. Smith, Michael S. Lewicki
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. NIPS (2004)
Yan Karklin, Michael S. Lewicki
A Model for Learning Variance Components of Natural Images. NIPS (2002)
Te-Won Lee, Michael S. Lewicki
Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Trans. Image Process. 11 (3) (2002)
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) (2000)
Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki
Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS (2000)
Michael S. Lewicki, Terrence J. Sejnowski
Learning Overcomplete Representations. Neural Comput. 12 (2) (2000)
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) (1999)
Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS (1998)
Michael S. Lewicki, Terrence J. Sejnowski
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS (1998)
Michael S. Lewicki, Terrence J. Sejnowski
Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS (1997)
Michael S. Lewicki, Bruno A. Olshausen
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS (1997)
Michael S. Lewicki, Terrence J. Sejnowski
Bayesian Unsupervised Learning of Higher Order Structure. NIPS (1996)
Michael S. Lewicki
Bayesian Modeling and Classification of Neural Signals. Neural Comput. 6 (5) (1994)
Michael S. Lewicki
Bayesian Modeling and Classification of Neural Signals. NIPS (1993)