598 search results - page 45 / 120 » The Structure of Sparse Resultant Matrices |
134
Voted
CORR
2010
Springer
15 years 3 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...
100
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
139
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
138
Voted
EMMCVPR
2005
Springer
15 years 9 months ago
2005
Springer
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
154
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...