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» Approximation schemes for clustering problems
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CCGRID
2007
IEEE
15 years 9 months ago
STORM: An Approach to Database Storage Management in Clustered Storage Environments
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
Kaushik Dutta, Raju Rangaswami
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 10 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
ATAL
2009
Springer
16 years 1 days ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
CLUSTER
2004
IEEE
15 years 9 months ago
Cluster computing environment supporting single system image
Single system image(SSI) systems have been the mainstay of high-performance computing for many years. SSI requires the integration and aggregation of all types of resources in a c...
Min Choi, DaeWoo Lee, Seung Ryoul Maeng
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 6 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...