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CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 8 months ago
Graphical Models Concepts in Compressed Sensing
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
Andrea Montanari
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 4 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
IEEEICCI
2006
IEEE
15 years 3 months ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding
CORR
2010
Springer
95views Education» more  CORR 2010»
14 years 9 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
ACL
2004
14 years 11 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer