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ICIP
2010
IEEE
13 years 5 months 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...
ICASSP
2009
IEEE
13 years 5 months 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
ICCAD
2009
IEEE
144views Hardware» more  ICCAD 2009»
13 years 5 months 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
ICCV
2009
IEEE
13 years 5 months 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
ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
13 years 5 months 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