Support Vector Machines Applications

Support Vector Machines Applications

Guo, Guodong; Ma, Yunqian

Springer International Publishing AG

09/2016

302

Mole

Inglês

9783319343297

15 a 20 dias

5312

Descrição não disponível.
Augmented-SVM for gradient observations with application to learning multiple-attractor dynamics.- Multi-class Support Vector Machine.- Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning.- Security Evaluation of Support Vector Machines in Adversarial Environments.- Application of SVMs to the Bag-of-features Model- A Kernel Perspective.- Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination.- Kernel Machines for Imbalanced Data Problem and the Use in Biomedical Applications.- Soft Biometrics from Face Images using Support Vector Machines.
Business Intelligence;Computer Vision;Kernel Machines;Large Margin Classifier;Learning in the Small Sample Case;Learning with High Dimensionality;Machine Learning;Pattern Recognition;Support Vector Machine;complexity