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ICA
2004
Springer
15 years 11 months ago
Some Gradient Based Joint Diagonalization Methods for ICA
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Bijan Afsari, Perinkulam S. Krishnaprasad
PRL
2008
135views more  PRL 2008»
15 years 6 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
TKDE
2012
229views Formal Methods» more  TKDE 2012»
13 years 8 months ago
Effective Pattern Discovery for Text Mining
—Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open rese...
Ning Zhong, Yuefeng Li, Sheng-Tang Wu
CADUI
2004
15 years 7 months ago
A Design Toolkit for Hypermedia Applications Based on Ariadne Development Method
The development process of hypermedia applications implies very specific problems mainly related, first, to the use of navigational structures, interactive behaviours and multimed...
Susana Montero, Camino Fernández, Juan Manu...
CSDA
2007
99views more  CSDA 2007»
15 years 6 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar