80 search results - page 11 / 16 » Spectral clustering based on matrix perturbation theory |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a method based on sparse representation
(SR) to cluster data drawn from multiple low-dimensional
linear or affine subspaces embedded in a high-dimensional
space. Our ...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...