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» Optimization on Support Vector Machines
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NIPS
2001
15 years 16 hour ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
VCIP
2003
184views Communications» more  VCIP 2003»
15 years 1 hour ago
On the detection of pornographic digital images
The paper addresses the problem of distinguishing between pornographic and non-pornographic photographs, for the design of semantic filters for the web. Both, decision forests of ...
Raimondo Schettini, Carla Brambilla, Claudio Cusan...
CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 10 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
IJCSA
2008
132views more  IJCSA 2008»
14 years 10 months ago
Biomedical Named Entity Recognition Based on Classifiers Ensemble
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
Haochang Wang, Tiejun Zhao, Hongye Tan, Shu Zhang
JAIR
2006
113views more  JAIR 2006»
14 years 10 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong