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» On the Complexity of Ordinal Clustering
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CVPR
2004
IEEE
16 years 1 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
CVPR
2005
IEEE
16 years 1 months ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Kai Zhang, Ming Tang, James T. Kwok
ICCV
2003
IEEE
16 years 1 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
ICDE
2001
IEEE
206views Database» more  ICDE 2001»
16 years 1 months ago
Cache-Aware Query Routing in a Cluster of Databases
We investigate query routing techniques in a cluster of databases for a query-dominant environment. The objective is to decrease query response time. Each component of the cluster...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...
74
Voted
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 4 days 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...