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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 7 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
16 years 27 days ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
SAC
2006
ACM
16 years 15 days ago
Towards value disclosure analysis in modeling general databases
The issue of confidentiality and privacy in general databases has become increasingly prominent in recent years. A key element in preserving privacy and confidentiality of sensi...
Xintao Wu, Songtao Guo, Yingjiu Li
ARCS
2004
Springer
15 years 12 months ago
Latent Semantic Indexing in Peer-to-Peer Networks
Searching in decentralized peer-to-peer networks is a challenging problem. In common applications such as Gnutella, searching is performed by randomly forwarding queries to all pee...
Xuezheng Liu, Ming Chen, Guangwen Yang