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CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 8 months ago
Sparse Recovery by Non-convex Optimization -- Instance Optimality
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...
Rayan Saab, Özgür Yilmaz
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 8 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ECCV
2004
Springer
14 years 10 months ago
A Closed-Form Solution to Non-rigid Shape and Motion Recovery
Recovery of three dimensional (3D) shape and motion of non-static scenes from a monocular video sequence is important for applications like robot navigation and human computer inte...
Jing Xiao, Jinxiang Chai, Takeo Kanade
CVPR
2004
IEEE
14 years 10 months ago
Non-Rigid Shape and Motion Recovery: Degenerate Deformations
This paper studies the problem of 3D non-rigid shape and motion recovery from a monocular video sequence, under the degenerate deformations. The shape of a deformable object is re...
Jing Xiao, Takeo Kanade
SECON
2008
IEEE
14 years 2 months ago
Cooperative Recovery in Heterogeneous Mobile Networks
Abstract—In multicast/broadcast services over infrastructurebased/cellular wireless networks (e.g. 3G cellular networks, WiMax, DVB), data is transmitted to multiple recipients f...
Kaustubh Sinkar, Amit Jagirdar, Thanasis Korakis, ...