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» A general algorithm for data dependence analysis
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ICML
2008
IEEE
15 years 10 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 3 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
BMVC
2010
14 years 8 months ago
Stratified Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by finding a reference shape and global rigid transformations given p...
Adrien Bartoli, Daniel Pizarro, Marco Loog
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
15 years 3 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis
HPCN
1995
Springer
15 years 1 months ago
Using optimistic execution techniques as a parallelisation tool for general purpose computing
Abstract. Optimistic execution techniques are widely used in the field of parallel discrete event simulation. In this paper we discuss the use of optimism as a technique for paral...
Adam Back, Stephen Turner