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» Approximation Algorithms for Clustering Problems
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ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 11 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
CCGRID
2007
IEEE
15 years 10 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
COMPGEOM
2004
ACM
16 years 5 days ago
Range counting over multidimensional data streams
We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
Subhash Suri, Csaba D. Tóth, Yunhong Zhou
TCS
2010
15 years 5 months ago
Tight results for Next Fit and Worst Fit with resource augmentation
It is well known that the two simple algorithms for the classic bin packing problem, NF and WF both have an approximation ratio of 2. However, WF seems to be a more reasonable alg...
Joan Boyar, Leah Epstein, Asaf Levin
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
16 years 7 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...