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» Feature Selection in Clustering Problems
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146
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ICIP
2007
IEEE
16 years 5 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai
ISM
2008
IEEE
157views Multimedia» more  ISM 2008»
15 years 10 months ago
PhotoGeo: A Self-Organizing System for Personal Photo Collections
Nowadays the photo-capturing devices are no longer limited to digital cameras but include mobile phones, PDAs and others. This is leading to a new problem: a very large number of ...
Yuri Almeida Lacerda, Hugo Feitosa de Figueir&ecir...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 10 months ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
148
Voted
ICNC
2005
Springer
15 years 9 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
ICIAP
2003
ACM
15 years 9 months ago
Color matching by using tuple matching
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
Dirk Balthasar