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» Tracking Clusters in Evolving Data Sets
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SEMWEB
2005
Springer
14 years 1 months ago
An Application of Semantic Web Technologies to Situation Awareness
Situation awareness involves the identification and monitoring of relationships among objects participating in an evolving situation. This problem in general is intractable (i.e.,...
Christopher J. Matheus, Mieczyslaw M. Kokar, Kenne...
CSE
2009
IEEE
14 years 2 months ago
A Language of Life: Characterizing People Using Cell Phone Tracks
—Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cell phone tracks from the MIT Reality dataset can be u...
Alexy Khrabrov, George Cybenko
APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 9 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
ICIP
2007
IEEE
14 years 9 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
MICCAI
2007
Springer
14 years 8 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...