A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information
Joint Authors
Molina, José Manuel
Guisado, Miguel Ángel Patricio
García, Jesús
Pozo, Alberto
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
This paper deals with the problem of group behavior recognition.
Our approach is to merge all the possible features of group behavior (individuals, groups, relationships between individuals, relationships between groups, etc.) with static context information relating to particular domains.
All this information is represented as a set of features by classification algorithms.
This is a very high-dimensional problem, with which classification algorithms are unable cope.
For this reason, this paper also presents four feature selection alternatives: two wrappers and two filters.
We present and compare the results of each method in the basketball domain.
American Psychological Association (APA)
Pozo, Alberto& Guisado, Miguel Ángel Patricio& García, Jesús& Molina, José Manuel. 2013. A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-11.
https://search.emarefa.net/detail/BIM-467795
Modern Language Association (MLA)
Molina, José Manuel…[et al.]. A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-467795
American Medical Association (AMA)
Pozo, Alberto& Guisado, Miguel Ángel Patricio& García, Jesús& Molina, José Manuel. A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-11.
https://search.emarefa.net/detail/BIM-467795
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467795