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ICPR
2008
IEEE
14 years 6 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 4 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
ICML
2010
IEEE
13 years 5 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
CIMAGING
2009
153views Hardware» more  CIMAGING 2009»
13 years 5 months ago
Dictionaries for sparse representation and recovery of reflectances
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
Steven Lansel, Manu Parmar, Brian A. Wandell
CORR
2010
Springer
225views Education» more  CORR 2010»
13 years 4 months ago
Sensing Matrix Optimization for Block-Sparse Decoding
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...