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124
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ICASSP
2011
IEEE
14 years 7 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
135
Voted
ICA
2010
Springer
15 years 25 days 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...
117
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
148
Voted
ICML
2005
IEEE
16 years 4 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan
153
Voted
BIBE
2007
IEEE
159views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) have attracted much attention and have been successfully applied to numerous data analysis probl...
Hyunsoo Kim, Haesun Park, Lars Eldén