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IVC
2008
182views more  IVC 2008»
13 years 7 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
SSS
2010
Springer
143views Control Systems» more  SSS 2010»
13 years 5 months ago
Lightweight Live Migration for High Availability Cluster Service
High availability is a critical feature for service clusters and cloud computing, and is often considered more valuable than performance. One commonly used technique to enhance the...
Bo Jiang, Binoy Ravindran, Changsoo Kim
CSDA
2008
147views more  CSDA 2008»
13 years 7 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 7 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
IJCAI
2003
13 years 8 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney