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SIBGRAPI
2005
IEEE
14 years 28 days ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 8 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
ICPR
2002
IEEE
14 years 9 days ago
Determining a Suitable Metric when Using Non-Negative Matrix Factorization
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
David Guillamet, Jordi Vitrià
ICPP
1999
IEEE
13 years 11 months ago
An Offline Algorithm for Dimension-Bound Analysis
The vector-clock size necessary to characterize causality in a distributed computation is bounded by the dimension of the partial order induced by that computation. In an arbitrar...
Paul A. S. Ward
JPDC
2008
135views more  JPDC 2008»
13 years 7 months ago
Parallel block tridiagonalization of real symmetric matrices
Two parallel block tridiagonalization algorithms and implementations for dense real symmetric matrices are presented. Block tridiagonalization is a critical pre-processing step for...
Yihua Bai, Robert C. Ward