358 search results - page 1 / 72 » Rank Matrix Factorisation |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
ACL
2004
13 years 8 months ago
2004
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A novel framework for the factorisation of complex-valued data is derived using recent developments in complex statistics. Unlike existing factorisation tools the algorithms can c...
ECIR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...