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» From Comparing Clusterings to Combining Clusterings
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CVPR
2010
IEEE
14 years 5 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
ICCV
2005
IEEE
14 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CHES
2009
Springer
157views Cryptology» more  CHES 2009»
14 years 9 months ago
Differential Cluster Analysis
Abstract. We propose a new technique called Differential Cluster Analysis for side-channel key recovery attacks. This technique uses cluster analysis to detect internal collisions ...
Lejla Batina, Benedikt Gierlichs, Kerstin Lemke-Ru...
RECOMB
2001
Springer
14 years 9 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
LWA
2008
13 years 10 months ago
Labeling Clusters - Tagging Resources
In order to support the navigation in huge document collections efficiently, tagged hierarchical structures can be used. Often, multiple tags are used to describe resources. For u...
Korinna Bade, Andreas Nürnberger