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» On the Performance of Ant-based Clustering
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ICIP
2008
IEEE
16 years 8 months ago
Motion segmentation and abnormal behavior detection via behavior clustering
We consider a change detection problem in video surveillance applications and propose busy-idle rates, meaningful and easy to compute features, to characterize the behavior profil...
Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc...
ICPR
2002
IEEE
16 years 7 months ago
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Christophe Saint-Jean, Carl Frélicot
MICCAI
2005
Springer
16 years 7 months ago
White Matter Tract Clustering and Correspondence in Populations
We present a novel method for finding white matter fiber correspondences and clusters across a population of brains. Our input is a collection of paths from tractography in every b...
Lauren O'Donnell, Carl-Fredrik Westin
ICML
2001
IEEE
16 years 7 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
WWW
2007
ACM
16 years 7 months ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi