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» Correlation Clustering with Noisy Input
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ICMCS
2006
IEEE
146views Multimedia» more  ICMCS 2006»
14 years 1 months ago
A Mutual Information based Face Clustering Algorithm for Movies
In this paper a new approach for face clustering is developed. Mutual information and joint entropy are exploited in order to create a metric for the clustering process. The way t...
Nicholas Vretos, Vassilios Solachidis, Ioannis Pit...
TMI
2008
142views more  TMI 2008»
13 years 7 months ago
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joach...
CONEXT
2006
ACM
14 years 1 months ago
Inferring groups of correlated failures
We compare and evaluate different methods to infer groups of correlated failures. These methods try to group failure events occurring nearly simultaneously in clusters. Indeed if...
Jean Lepropre, Guy Leduc
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
A correlated motif approach for finding short linear motifs from protein interaction networks
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kion...
CVPR
2004
IEEE
14 years 9 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade