The nature of statistical learning theory
The nature of statistical learning theory
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Kernel projection algorithm for large-scale SVM problems
Journal of Computer Science and Technology
Duality and Geometry in SVM Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support Vector Machines: Training and Applications
Support Vector Machines: Training and Applications
Training ν-Support Vector Classifiers: Theory and Algorithms
Neural Computation
Neural Computation
A fast iterative nearest point algorithm for support vector machine classifier design
IEEE Transactions on Neural Networks
A general soft method for learning SVM classifiers with L1-norm penalty
Pattern Recognition
SVM Based Decision Analysis and Its Granular-Based Solving
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
A ν-twin support vector machine (ν-TSVM) classifier and its geometric algorithms
Information Sciences: an International Journal
The robust and efficient adaptive normal direction support vector regression
Expert Systems with Applications: An International Journal
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Motion can provide useful information about the structure of an articulated object. In this paper, we develop a method to estimate the revolute joints from two monocular images of the moving articulated object. Firstly, according to the characteristic ...