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ICIP
2007
IEEE
14 years 11 months ago
Abnormal Event Detection from Surveillance Video by Dynamic Hierarchical Clustering
The clustering-based approach for detecting abnormalities in surveillance video requires the appropriate definition of similarity between events. The HMM-based similarity defined ...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos
WCE
2007
13 years 10 months ago
Novel Auxiliary Techniques in Clustering
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
Mohammad Taheri, Reza Boostani
ICML
2005
IEEE
14 years 10 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
NIPS
2003
13 years 11 months ago
Pairwise Clustering and Graphical Models
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
CHI
2008
ACM
14 years 10 months ago
MQSearch: image search by multi-class query
Image search is becoming prevalent in web search as the number of digital photos grows exponentially on the internet. For a successful image search system, removing outliers in th...
Yiwen Luo, Wei Liu, Jianzhuang Liu, Xiaoou Tang