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NIPS
2000
13 years 6 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
ICASSP
2010
IEEE
13 years 5 months ago
A weighted discriminative approach for image denoising with overcomplete representations
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
Amir Adler, Yacov Hel-Or, Michael Elad
ICA
2007
Springer
13 years 6 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang
VTC
2007
IEEE
108views Communications» more  VTC 2007»
13 years 11 months ago
Joint Optimization of Iterative Source and Channel Decoding Using Over-Complete Source-Mapping
— The intentionally imposed or inherent unintentional residual redundancy found in source encoded bitstreams can be exploited for supporting joint SoftBit-Source Decoding and Cha...
Anh Quang Pham, Lie-Liang Yang, Lajos Hanzo
ICASSP
2011
IEEE
12 years 8 months ago
Nonlinear audio recurrence analysis with application to genre classification
In this paper we apply nonlinear signal analysis to a music information retrieval task. More concretely, we apply the concept of recurrence plots and recurrence histograms to extr...
Joan Serra, Carlos A. de los Santos, Ralph G. Andr...