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197views
14 years 2 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
16 years 24 days ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...
CVPR
2008
IEEE
16 years 8 months ago
Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences
The paper addresses the problem of factorization-based 3D reconstruction from uncalibrated image sequences. We propose a quasi-perspective projection model and apply the model to ...
Guanghui Wang, Q. M. Jonathan Wu, Guoqiang Sun
PDP
2008
IEEE
16 years 16 days ago
Scheduling of QR Factorization Algorithms on SMP and Multi-Core Architectures
This paper examines the scalable parallel implementation of QR factorization of a general matrix, targeting SMP and multi-core architectures. Two implementations of algorithms-by-...
Gregorio Quintana-Ortí, Enrique S. Quintana...
CORR
2010
Springer
200views Education» more  CORR 2010»
15 years 6 months ago
A Multilevel Approach For Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
Nicolas Gillis, François Glineur