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» Semi-Supervised Support Vector Machines
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CVPR
2001
IEEE
15 years 3 days ago
Support Vector Tracking
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
Shai Avidan
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 2 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
ESANN
2001
13 years 11 months ago
Intelligent hardware for identification and control of non-linear systems with SVM
Support Vector Machines are gaining more and more acceptance thanks to their success in many real
Andrea Boni, Fabio Bardi
ICML
2010
IEEE
13 years 11 months ago
One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
Han-Hsing Tu, Hsuan-Tien Lin
ICML
2005
IEEE
14 years 11 months ago
New approaches to support vector ordinal regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
Wei Chu, S. Sathiya Keerthi