756 search results - page 1 / 152 » Quantization of Sparse Representations |
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Sparse coding is a new field in signal processing with possible applications to source coding. In this paper we present a new method that combines the problems of sparse signal a...
ACIVS
2005
Springer
13 years 10 months ago
2005
Springer
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
DCC
2007
IEEE
14 years 4 months ago
2007
IEEE
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...