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CVIU
1999
238views more  CVIU 1999»
14 years 9 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa
78
Voted
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 3 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
65
Voted
CHES
2009
Springer
157views Cryptology» more  CHES 2009»
15 years 10 months ago
Differential Cluster Analysis
Abstract. We propose a new technique called Differential Cluster Analysis for side-channel key recovery attacks. This technique uses cluster analysis to detect internal collisions ...
Lejla Batina, Benedikt Gierlichs, Kerstin Lemke-Ru...
92
Voted
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
SI3D
2006
ACM
15 years 3 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...