138 search results - page 8 / 28 » Information Theoretic Clustering of Sparse Co-Occurrence Dat... |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
NIPS
1997
13 years 9 months ago
1997
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
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...
CIS
2005
Springer
14 years 1 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
PR
2007
13 years 7 months ago
2007
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...