140 search results - page 2 / 28 » Clustering via Matrix Powering |
CLUSTER
2006
IEEE
13 years 11 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
13 years 7 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
13 years 6 months 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 5 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
13 years 9 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...