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» Approximation Algorithms for Clustering Problems
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MM
2005
ACM
122views Multimedia» more  MM 2005»
16 years 1 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 9 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
SIGMOD
2012
ACM
267views Database» more  SIGMOD 2012»
13 years 10 months ago
CloudAlloc: a monitoring and reservation system for compute clusters
Cloud computing has emerged as a promising environment capable of providing flexibility, scalability, elasticity, failover mechanisms, high availability, and other important feat...
Enrico Iori, Alkis Simitsis, Themis Palpanas, Kevi...
PR
2007
293views more  PR 2007»
15 years 7 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
SIAMJO
2008
175views more  SIAMJO 2008»
15 years 7 months ago
On Bin Packing with Conflicts
Abstract. We consider the offline and online versions of a bin packing problem called bin packing with conflicts. Given a set of items V = {1, 2, . . . , n} with sizes s1, s2 . . ....
Leah Epstein, Asaf Levin