10 search results - page 2 / 2 » Semi-Supervised Clustering via Matrix Factorization |
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Social media such as Web forum often have dense interactions between user and content where network models are often appropriate for analysis. Joint non-negative matrix factorizat...
WEBI
2007
Springer
13 years 11 months ago
2007
Springer
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 ...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds, or more precisely auditory streams, that occur w...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...