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ICMCS
2006
IEEE
173views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification
In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individua...
Emmanouil Benetos, Margarita Kotti, Constantine Ko...
NIPS
2000
15 years 1 months ago
Algorithms for Non-negative Matrix Factorization
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two different multiplicative algorithms for NMF are analyzed....
Daniel D. Lee, H. Sebastian Seung
88
Voted
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
15 years 5 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
SCIA
2009
Springer
132views Image Analysis» more  SCIA 2009»
15 years 6 months ago
Instant Action Recognition
In this paper, we present an efficient system for action recognition from very short sequences. For action recognition typically appearance and/or motion information of an action ...
Thomas Mauthner, Peter M. Roth, Horst Bischof
ECCV
2006
Springer
16 years 1 months ago
Controlling Sparseness in Non-negative Tensor Factorization
Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of t...
Matthias Heiler, Christoph Schnörr