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» Approximation algorithms for projective clustering
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101
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ICCV
2007
IEEE
16 years 2 months ago
Mode-seeking by Medoidshifts
We present a nonparametric mode-seeking algorithm, called medoidshift, based on approximating the local gradient using a weighted estimate of medoids. Like meanshift, medoidshift ...
Yaser Sheikh, Erum A. Khan, Takeo Kanade
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 1 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
137
Voted
AFRIGRAPH
2004
ACM
15 years 6 months ago
Visualizing 3D scenes using non-linear projections and data mining of previous camera movements
We describe techniques for exploring 3D scenes by combining non-linear projections with the interactive data mining of camera navigations from previous explorations. Our approach ...
Karan Singh, Ravin Balakrishnan
CVPR
2006
IEEE
16 years 2 months ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
123
Voted
HT
1996
ACM
15 years 4 months ago
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering
HyPursuit is a new hierarchical network search engine that clusters hypertext documents to structure a given information space for browsing and search activities. Our content-link...
Ron Weiss, Bienvenido Vélez, Mark A. Sheldo...