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» Support Recovery of Sparse Signals
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CVPR
2011
IEEE
14 years 5 months ago
Is face recognition really a Compressive Sensing problem?
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
Qinfeng Shi, Anders Eriksson, Anton vandenHengel, ...
AVSS
2006
IEEE
15 years 1 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
TSP
2011
140views more  TSP 2011»
14 years 4 months ago
Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging and radar. The recent finite rate of innovation framework, has paved the way to lo...
Ronen Tur, Yonina C. Eldar, Zvi Friedman
CN
2008
163views more  CN 2008»
14 years 9 months ago
Loss-resilient window-based congestion control
This paper addresses the problem of fair allocation of bandwidth resources on lossy channels in hybrid heterogeneous networks. It discusses more particularly the ability of window...
Christophe De Vleeschouwer, Pascal Frossard
ICML
2007
IEEE
15 years 10 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan