18 search results - page 1 / 4 » Co-clustering by block value decomposition |
KDD
2005
ACM
14 years 6 months ago
2005
ACM
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...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- In this paper, we propose secure protocols to perform Singular Value Decomposition (SVD) for two parties over horizontally and vertically partitioned data. We propose va...
ISMVL
1997
IEEE
13 years 10 months ago
1997
IEEE
In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
MTA
2011
13 years 1 months ago
2011
Quantization index modulation is one of the best methods for performing blind watermarking, due to its simplicity and good rate-distortion-robustness tradeoffs. In this paper, a ne...
COLING
2008
13 years 7 months ago
2008
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccur...