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CSDA
2008
128views more  CSDA 2008»
13 years 4 months ago
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
Chris H. Q. Ding, Tao Li, Wei Peng
CLEF
2010
Springer
13 years 5 months ago
Bioingenium at ImageClefmed 2010: A Latent Semantic Approach
This paper describes the participation of the Bioingenium Research Group in the ad hoc Medical Image Retrieval task for the 2010 ImageCLEF forum. The work aimed to explore semantic...
Jose G. Moreno, Juan C. Caicedo, Fabio A. Gonz&aac...
SIGIR
2005
ACM
13 years 10 months ago
Relation between PLSA and NMF and implications
Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...
Éric Gaussier, Cyril Goutte
SIGIR
2003
ACM
13 years 9 months ago
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
Wei Xu, Xin Liu, Yihong Gong
SIGIR
2003
ACM
13 years 9 months ago
On an equivalence between PLSI and LDA
Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Index...
Mark Girolami, Ata Kabán