534 search results - page 34 / 107 » Data Separation by Sparse Representations |
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
DCC
2011
IEEE
13 years 4 months ago
2011
IEEE
With the simplicity of its application together with compression efficiency, the Discrete Cosine Transform(DCT) plays a vital role in the development of video compression standar...
CVPR
2012
IEEE
12 years 15 days ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
ECCV
2006
Springer
14 years 12 months ago
2006
Springer
Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of t...
ICMCS
2008
IEEE
14 years 4 months ago
2008
IEEE
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...