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» The Practice of Cluster Analysis
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CVPR
2004
IEEE
16 years 8 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 7 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
16 years 1 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
ICPR
2008
IEEE
16 years 1 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle