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» Group-theoretic Algorithms for Matrix Multiplication
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ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
MST
2010
146views more  MST 2010»
13 years 3 months ago
The Cache-Oblivious Gaussian Elimination Paradigm: Theoretical Framework, Parallelization and Experimental Evaluation
We consider triply-nested loops of the type that occur in the standard Gaussian elimination algorithm, which we denote by GEP (or the Gaussian Elimination Paradigm). We present tw...
Rezaul Alam Chowdhury, Vijaya Ramachandran
WSDM
2012
ACM
334views Data Mining» more  WSDM 2012»
12 years 4 months ago
mTrust: discerning multi-faceted trust in a connected world
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Jiliang Tang, Huiji Gao, Huan Liu
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 11 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang