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» Motion estimation from compressed linear measurements
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VLSM
2005
Springer
14 years 1 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
ICCAD
2009
IEEE
144views Hardware» more  ICCAD 2009»
13 years 6 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
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 3 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
3DPVT
2006
IEEE
259views Visualization» more  3DPVT 2006»
14 years 2 months ago
3D Skeleton-Based Body Pose Recovery
This paper presents an approach to recover body motions from multiple views using a 3D skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints...
Clément Ménier, Edmond Boyer, Bruno ...
AUTOMATICA
2007
97views more  AUTOMATICA 2007»
13 years 8 months ago
State estimation for linear systems with state equality constraints
This paper deals with state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we cons...
Sangho Ko, Robert R. Bitmead