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» Multiple kernel nonnegative matrix factorization
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KDD
2010
ACM
286views Data Mining» more  KDD 2010»
13 years 7 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 9 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
ICASSP
2009
IEEE
14 years 3 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...
JMLR
2008
188views more  JMLR 2008»
13 years 8 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 3 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun