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» Descent methods for Nonnegative Matrix Factorization
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ICASSP
2011
IEEE
12 years 11 months ago
Image prediction based on non-negative matrix factorization
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
Mehmet Türkan, Christine Guillemot
MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 8 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
ICASSP
2010
IEEE
13 years 7 months ago
Noise-to-mask ratio minimization by weighted non-negative matrix factorization
This paper proposes a novel algorithm for minimizing the perceptual distortion in non-negative matrix factorization (NMF) based audio representation. We formulate the noise-to-mas...
Joonas Nikunen, Tuomas Virtanen
SIGIR
2003
ACM
14 years 19 days 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
WEBI
2007
Springer
14 years 1 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu