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JIPS
2006
72views more  JIPS 2006»
14 years 11 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim
JMLR
2006
104views more  JMLR 2006»
14 years 11 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
90
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PAMI
2008
173views more  PAMI 2008»
14 years 11 months ago
Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities
This study investigates Bayes classification of online Arabic characters using histograms of tangent differences and Gibbs modeling of the class-conditional probability density fun...
Neila Mezghani, Amar Mitiche, Mohamed Cheriet
PAA
2006
14 years 11 months ago
Automatic name extraction from degraded document images
The problem addressed in this paper is the automatic extraction of names from a document image. Our approach relies on the combination of two complementary analyses. First, the ima...
Laurence Likforman-Sulem, Pascal Vaillant, Aliette...
IJISTA
2007
124views more  IJISTA 2007»
14 years 11 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...