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ECCV
2008
Springer
14 years 12 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICDCS
1999
IEEE
14 years 2 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta
ISCI
2008
165views more  ISCI 2008»
13 years 10 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
CVPR
2010
IEEE
14 years 11 days ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
GLOBECOM
2006
IEEE
14 years 4 months ago
Linear Coherent Decentralized Estimation
Abstract—We consider the distributed estimation of an unknown vector signal in a resource constrained sensor network with a fusion center. Due to power and bandwidth limitations,...
Jinjun Xiao, Shuguang Cui, Zhi-Quan Luo, Andrea J....