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» Measuring Similarity between Sets of Overlapping Clusters
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95
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DCC
2006
IEEE
16 years 12 days ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
105
Voted
ICPR
2004
IEEE
16 years 1 months ago
Selecting Canonical Views for View-Based 3-D Object Recognition
Given a collection of sets of 2-D views of 3-D objects and a similarity measure between them, we present a method for summarizing the sets using a small subset called a bounded ca...
Ali Shokoufandeh, Jeff Abrahamson, M. Fatih Demirc...
109
Voted
CLEF
2007
Springer
15 years 4 months ago
Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
In this paper we will describe Berkeley's approach to the Domain Specific (DS) track for CLEF 2007. This year we are using forms of the Entry Vocabulary Indexes and Thesaurus...
Ray R. Larson
94
Voted
ICCV
2003
IEEE
16 years 2 months ago
Tracking Objects Using Density Matching and Shape Priors
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
Tao Zhang, Daniel Freedman
124
Voted
PAMI
2006
106views more  PAMI 2006»
15 years 23 days ago
Statistical Analysis of Dynamic Actions
Real-world action recognition applications require the development of systems which are fast, can handle a large variety of actions without a priori knowledge of the type of actio...
Lihi Zelnik-Manor, Michal Irani