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» On detecting space-time clusters
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CONCUR
2005
Springer
15 years 3 months ago
Concurrent Clustered Programming
d Abstract) Vijay Saraswat1 and Radha Jagadeesan2 1 IBM T.J. Watson Research Lab 2 School of CTI, DePaul University Abstract. We present the concurrency and distribution primitives...
Vijay A. Saraswat, Radha Jagadeesan
86
Voted
ICIP
2002
IEEE
15 years 11 months ago
Image segmentation using clustering with saddle point detection
We discuss a novel statistical framework for image segmentation based on nonparametric clustering. By employing the mean shift procedure for analysis, image regions are identified...
Dorin Comaniciu
ACIVS
2008
Springer
15 years 4 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
94
Voted
ECCV
2006
Springer
15 years 11 months ago
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint
Occlusion and lack of visibility in dense crowded scenes make it very difficult to track individual people correctly and consistently. This problem is particularly hard to tackle i...
Saad M. Khan, Mubarak Shah
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
15 years 3 months ago
Network Intrusion Detection Using Genetic Clustering
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...
Elizabeth Leon, Olfa Nasraoui, Jonatan Góme...