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» Quantization of Sparse Representations
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ICASSP
2008
IEEE
14 years 2 months ago
Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence
This paper analyzes the performance of the simple thresholding algorithm for sparse signal representations. In particular, in order to be more realistic we introduce a new probabi...
Mohammad Golbabaee, Pierre Vandergheynst
BC
2007
100views more  BC 2007»
13 years 7 months ago
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex
Abstract Thesparsenessoftheencodingofstimulibysingle neurons and by populations of neurons is fundamental to understanding the efficiency and capacity of representations in the br...
Leonardo Franco, Edmund T. Rolls, Nikolaos C. Agge...
ITCC
2005
IEEE
14 years 1 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
ICIP
2010
IEEE
13 years 5 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 3 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing