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ACIVS
2009
Springer
16 years 1 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
16 years 29 days ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
SIGIR
2009
ACM
16 years 27 days ago
SUSHI: scoring scaled samples for server selection
Modern techniques for distributed information retrieval use a set of documents sampled from each server, but these samples have been underutilised in server selection. We describe...
Paul Thomas, Milad Shokouhi
ICDS
2008
IEEE
16 years 25 days ago
A New Server Selection Strategy for Reliable Server Pooling in Widely Distributed Environments
In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing ...
Xing Zhou, Thomas Dreibholz, Erwin P. Rathgeb
ICMCS
2008
IEEE
174views Multimedia» more  ICMCS 2008»
16 years 25 days ago
Cascaded classification with optimal candidate selection for effective place recognition
A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
Yiqun Li, Joo-Hwee Lim, Hanlin Goh