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ICML
2006
IEEE
14 years 1 months ago
Multiclass reduced-set support vector machines
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
Benyang Tang, Dominic Mazzoni
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Investigation into Biomedical Literature Classification Using Support Vector Machines
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
Nalini Polavarapu, Shamkant B. Navathe, Ramprasad ...
ICMCS
2006
IEEE
208views Multimedia» more  ICMCS 2006»
14 years 1 months ago
An Automatic Classification System Applied in Medical Images
In this paper, a multi-class classification system is developed for medical images. We have mainly explored ways to use different image features, and compared two classifiers: Pri...
Bo Qiu, Chang Xu, Qi Tian
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
ICPR
2002
IEEE
14 years 8 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...