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» Submodular Dictionary Selection for Sparse Representation
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ICML
2010
IEEE
13 years 12 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 5 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
CVPR
2012
IEEE
12 years 1 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
ICIP
2010
IEEE
13 years 8 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...
ICASSP
2011
IEEE
13 years 2 months ago
Image compression using the Iteration-Tuned and Aligned Dictionary
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
Joaquin Zepeda, Christine Guillemot, Ewa Kijak