598 search results - page 46 / 120 » The Structure of Sparse Resultant Matrices |
149
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
113
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
155
Voted
JACM
2011
14 years 6 months ago
2011
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
155
Voted
CORR
2012
Springer
13 years 11 months ago
2012
Springer
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
108
Voted
ASPDAC
2006
ACM
15 years 9 months ago
2006
ACM
We present a technique for the fast and accurate simulation of largescale VLSI interconnects with nonlinear devices, called SASIMI. The numerical efficiency of this technique is ...