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» On the Performance of Clustering in Hilbert Spaces
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 3 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
16 years 13 days ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
16 years 5 days ago
Semantic Labeling of Multimedia Content Clusters
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Jelena Tesic, John R. Smith
CVPR
2012
IEEE
13 years 8 months ago
Improving multi-target tracking via social grouping
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Zhen Qin, Christian R. Shelton
WEBI
2004
Springer
15 years 11 months ago
Using Semantic Graphs in Clustering Process : Enhance Information Level
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
Jean-Sébastien Brunner, Isabelle Berrien