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JMLR
2012
13 years 2 months ago
Minimax Rates of Estimation for Sparse PCA in High Dimensions
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
Vincent Q. Vu, Jing Lei
EUROSSC
2006
Springer
15 years 3 months ago
Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras
Abstract. This paper presents a surveillance system for tracking multiple people through a wide area with sparsely distributed cameras. The computational core of the system is an a...
Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kr&o...
TMM
2010
153views Management» more  TMM 2010»
14 years 6 months ago
Optimal Audio Transmission Over Error-Prone Wireless Links
In this paper, we present an optimization framework for transmitting high quality audio sequences over error-prone wireless links. Our framework introduces apparatus and technique ...
Ala F. Khalifeh, Homayoun Yousefi'zadeh
TSP
2008
143views more  TSP 2008»
14 years 11 months ago
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar
Sparse signal representations and approximations from overcomplete dictionaries have become an invaluable tool recently. In this paper, we develop a new, heuristic, graph-structure...
Kush R. Varshney, Müjdat Çetin, John W...
ICASSP
2011
IEEE
14 years 3 months ago
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
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...
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Sim...