๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Multiple view semi-supervised dimensionality reduction

โœ Scribed by Chenping Hou; Changshui Zhang; Yi Wu; Feiping Nie


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
358 KB
Volume
43
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Supervised dimensionality reduction via
โœ Chunhua Shen; Hongdong Li; Michael J. Brooks ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 697 KB

Many dimensionality reduction problems end up with a trace quotient formulation. Since it is difficult to directly solve the trace quotient problem, traditionally the trace quotient cost function is replaced by an approximation such that the generalized eigenvalue decomposition can be applied. In co

A multi-view approach to semi-supervised
โœ Ping Gu; QingSheng Zhu; Cheng Zhang ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 569 KB

Many semi-supervised learning algorithms only consider the distribution of word frequency, ignoring the semantic and syntactic information underlying the documents. In this paper, we present a new multi-view approach for semi-supervised document classification by incorporating both semantic and synt