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» Training of Support Vector Machines with Mahalanobis Kernels
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ECML
2004
Springer
15 years 11 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
CVPR
2006
IEEE
15 years 9 months ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
Changbo Yang, Ming Dong, Jing Hua
ICMCS
2006
IEEE
208views Multimedia» more  ICMCS 2006»
16 years 6 days 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
ICASSP
2011
IEEE
14 years 10 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
15 years 11 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao