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» On Combining Classifiers
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WIAMIS
2009
IEEE
14 years 5 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
EPIA
2009
Springer
14 years 4 months ago
Classifying Documents According to Locational Relevance
This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for th...
Ivo Anastácio, Bruno Martins, Pável ...
ANNES
1995
14 years 1 months ago
The Development of Holte's 1R Classifier
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...
ASWC
2008
Springer
14 years 7 days ago
A Formal Model for Classifying Trusted Semantic Web Services
Abstract. Semantic Web Services (SWS) aim to alleviate Web service limitations, by combining Web service technologies with the potential of Semantic Web. Several open issues have t...
Stefania Galizia, Alessio Gugliotta, Carlos Pedrin...
ICCTA
2007
IEEE
13 years 10 months ago
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
Ataollah Ebrahimzadeh, Seyed Alireza Seyedin