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» Empirical Evaluation of Four Tensor Decomposition Algorithms
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CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 4 months ago
Empirical Evaluation of Four Tensor Decomposition Algorithms
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is ...
Peter D. Turney
ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
13 years 11 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
TSP
2008
109views more  TSP 2008»
13 years 4 months ago
Constrained Tensor Modeling Approach to Blind Multiple-Antenna CDMA Schemes
In this paper, we consider an uplink multiple-antenna Code-Division Multiple-Access (CDMA) system linking several multiple-antenna mobile users to one multiple-antenna base-statio...
André L. F. de Almeida, Gérard Favie...
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 4 months ago
Constraint solvers: An empirical evaluation of design decisions
This paper presents an evaluation of the design decisions made in four state-of-the-art constraint solvers; Choco, ECLiPSe, Gecode, and Minion. To assess the impact of design deci...
Lars Kotthoff
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 4 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun