Classification of Faces in Man and Machine
Neural Computation
An intelligent learning diagnosis system for Web-based thematic learning platform
Computers & Education
Kernel based support vector machine via semidefinite programming: Application to medical diagnosis
Computers and Operations Research
Charge state determination of peptide tandem mass spectra using support vector machine (SVM)
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Fuzzy SVM with a New Fuzzy Membership Function to Solve the Two-Class Problems
Neural Processing Letters
Gabor feature based face recognition using supervised locality preserving projection
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Improved support vector machine generalization using normalized input space
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Modeling the mental differentiation task with EEG
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
On proximal bilateral-weighted fuzzy support vector machine classifiers
International Journal of Advanced Intelligence Paradigms
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This paper discusses classification using support vector machines in a normalized feature space. We consider both normalization in input space and in feature space. Exploiting the fact that in this setting all points lie on the surface of a unit hypersphere we replace the optimal separating hyperplane by one that is symmetric in its angles, leading to an improved estimator. Evaluation of these considerations is done in numerical experiments on two real-world datasets. The stability to noise of this offset correction is subsequently investigated as well as its optimality.