106 search results - page 7 / 22 » Document Representation and Dimension Reduction for Text Clu... |
NIPS
2008
13 years 9 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
WEBI
2005
Springer
14 years 1 months ago
2005
Springer
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
AI
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...