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ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
15 years 10 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
CPM
2009
Springer
102views Combinatorics» more  CPM 2009»
15 years 5 months ago
Statistical Properties of Factor Oracles
Factor and suffix oracles have been introduced in [1] in order to provide an economic and efficient solution for storing all the factors and suffixes respectively of a given text. ...
Jérémie Bourdon, Irena Rusu
ICASSP
2011
IEEE
14 years 8 months ago
Itakura-Saito nonnegative matrix factorization with group sparsity
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
Augustin Lefevre, Francis Bach, Cédric F&ea...
CHI
2002
ACM
16 years 4 months ago
Factors influencing the experience of website usage
The present study examines the role of subjectively perceived factors of the experience of website usage in forming an intention to use a website. An integrative research model is...
Sascha Mahlke
ICRA
2007
IEEE
130views Robotics» more  ICRA 2007»
15 years 10 months ago
The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search
— Designing algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be timeconsumi...
Jim Pugh, Alcherio Martinoli