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JMLR
2011
148views more  JMLR 2011»
13 years 3 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
IPPS
2010
IEEE
13 years 6 months ago
Inter-block GPU communication via fast barrier synchronization
The graphics processing unit (GPU) has evolved from a fixedfunction processor with programmable stages to a programmable processor with many fixed-function components that deliver...
Shucai Xiao, Wu-chun Feng
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 8 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
ICASSP
2011
IEEE
13 years 15 days ago
Weighted compressed sensing and rank minimization
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...
Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
SPAA
1996
ACM
14 years 27 days ago
From AAPC Algorithms to High Performance Permutation Routing and Sorting
Several recent papers have proposed or analyzed optimal algorithms to route all-to-all personalizedcommunication (AAPC) over communication networks such as meshes, hypercubes and ...
Thomas Stricker, Jonathan C. Hardwick