Sciweavers

495 search results - page 85 / 99
» Model-Based Compressive Sensing
Sort
View
103
Voted
ICIP
2010
IEEE
15 years 22 days ago
Anisotropic diffusion using power watersheds
Many computer vision applications such as image filtering, segmentation and stereo-vision can be formulated as optimization problems.Whereas in previous decades continuousdomain, ...
Camille Couprie, Leo J. Grady, Laurent Najman, Hug...
124
Voted
ICASSP
2009
IEEE
15 years 16 days ago
On the recovery of nonnegative sparse vectors from sparse measurements inspired by expanders
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
M. Amin Khajehnejad, Babak Hassibi
137
Voted
ICCAD
2009
IEEE
144views Hardware» more  ICCAD 2009»
15 years 15 days ago
Virtual probe: A statistically optimal framework for minimum-cost silicon characterization of nanoscale integrated circuits
In this paper, we propose a new technique, referred to as virtual probe (VP), to efficiently measure, characterize and monitor both inter-die and spatially-correlated intra-die va...
Xin Li, Rob A. Rutenbar, R. D. (Shawn) Blanton
140
Voted
ICCV
2009
IEEE
15 years 15 days ago
Learning with dynamic group sparsity
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...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
173
Voted
ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
15 years 15 days ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot