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» Algorithms for Non-negative Matrix Factorization
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SIGIR
2004
ACM
14 years 2 months ago
GaP: a factor model for discrete data
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...
John F. Canny
CVPR
2009
IEEE
15 years 4 months ago
Factorization for Non-Rigid and Articulated Structure using Metric Projections
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterati...
Alessio Del Bue, João M. F. Xavier, Lourdes...
ICASSP
2009
IEEE
13 years 6 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
TPDS
2010
174views more  TPDS 2010»
13 years 7 months ago
Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures
The objective of this paper is to extend, in the context of multicore architectures, the concepts of tile algorithms [Buttari et al., 2007] for Cholesky, LU, QR factorizations to t...
Hatem Ltaief, Jakub Kurzak, Jack Dongarra
GLOBECOM
2008
IEEE
14 years 3 months ago
A Maximum-Likelihood Decoder with a New Reduction Strategy for MIMO Channel Systems
—An efficient maximum-likelihood decoder with a new reduction strategy is proposed for linear MIMO channel systems. Unlike the current reduction strategies which only reorder th...
Xiao-Wen Chang, Xiaohua Yang