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SIGIR
2003
ACM
13 years 10 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
TKDE
2011
280views more  TKDE 2011»
12 years 11 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han
ICA
2010
Springer
13 years 2 months ago
Using Non-Negative Matrix Factorization for Removing Show-Through
Scanning process usually degrades digital documents due to the contents of the backside of the scanned manuscript. This is often because of the show-through effect, i.e. the backsi...
Farnood Merrikh-Bayat, Massoud Babaie-Zadeh, Chris...
CVPR
2010
IEEE
13 years 10 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
CVPR
2001
IEEE
14 years 6 months ago
A Weighted Non-Negative Matrix Factorization for Local Representations
This paper presents an improvement of the classical Non-negative Matrix Factorization (NMF) approach, for dealing with local representations of image objects. NMF, when applied to...
David Guillamet, Jordi Vitrià, Marco Bressa...