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» Quantization of Sparse Representations
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CIMAGING
2009
153views Hardware» more  CIMAGING 2009»
13 years 8 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
ICA
2010
Springer
13 years 8 months ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
ICASSP
2010
IEEE
13 years 7 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
ICCV
2011
IEEE
12 years 7 months ago
Sparse Representation or Collaborative Representation: Which Helps Face Recognition?
As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...
Lei Zhang, Meng Yang, Xiangchu Feng
ICASSP
2011
IEEE
12 years 11 months ago
Coding of unquantized spectrum sub-bands in superwideband audio codecs
We present several new methods for coding of spectrum coefficients in embedded audio codecs. In audio codecs, the spectrum is often divided in sub-bands, and quantized using a vec...
Vaclav Eksler, Milan Jelinek