140 search results - page 2 / 28 » Clustering via Matrix Powering |
CLUSTER
2006
IEEE
14 years 4 months ago
2006
IEEE
This paper presents a new partitioning algorithm to perform matrix multiplication on two interconnected heterogeneous processors. Data is partitioned in a way which minimizes the ...
BMVC
2001
14 years 1 months ago
2001
This paper presents an iterative maximum likelihood framework for motion segmentation via the pairwise checking of pixel blocks. We commence from a characterisation of the motion ...
LREC
2008
14 years 5 days ago
2008
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...