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ICASSP
2011
IEEE
12 years 11 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
CIKM
2000
Springer
13 years 12 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
CSDA
2007
142views more  CSDA 2007»
13 years 7 months ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant
ICCS
2004
Springer
14 years 26 days ago
Hierarchical Matrix-Matrix Multiplication Based on Multiprocessor Tasks
We consider the realization of matrix-matrix multiplication and propose a hierarchical algorithm implemented in a task-parallel way using multiprocessor tasks on distributed memory...
Sascha Hunold, Thomas Rauber, Gudula Rünger