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» Maximum-Margin Matrix Factorization
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104
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SIGIR
2008
ACM
15 years 15 days ago
Posterior probabilistic clustering using NMF
We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes th...
Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng
SCHOLARPEDIA
2008
109views more  SCHOLARPEDIA 2008»
15 years 1 days ago
Latent semantic analysis
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (&q...
Thomas K. Landauer, Susan T. Dumais
102
Voted
JASIS
2006
90views more  JASIS 2006»
15 years 16 days ago
Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Repor
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
Loet Leydesdorff
119
Voted
CSDA
2011
14 years 7 months ago
Hierarchical multilinear models for multiway data
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
Peter D. Hoff
96
Voted
TIT
2010
98views Education» more  TIT 2010»
14 years 7 months ago
QR decomposition of Laurent polynomial matrices sampled on the unit circle
Abstract--We consider Laurent polynomial (LP) matrices defined on the unit circle of the complex plane. QR decomposition of an LP matrix A(s) yields QR factors Q(s) and R(s) that, ...
Davide Cescato, Helmut Bölcskei