Amanote Research
Register
Sign In
Support Vector Class Description (SVCD): Classification in Kernel Space
Intelligent Data Analysis
- United Kingdom
doi 10.3233/ida-2012-0528
Full Text
Open PDF
Abstract
Available in
full text
Categories
Computer Vision
Pattern Recognition
Artificial Intelligence
Theoretical Computer Science
Date
May 4, 2012
Authors
Pilsung Kang
Sungzoon Cho
Publisher
IOS Press
Related search
A Signal Theory Approach to Support Vector Classification: The Sinc Kernel
Neural Networks
Artificial Intelligence
Cognitive Neuroscience
Classification of Static Security Status Using Multi-Class Support Vector Machines
Journal of Engineering Research
Engineering
Ranking Support Vector Machine With Kernel Approximation
Computational Intelligence and Neuroscience
Medicine
Mathematics
Computer Science
Neuroscience
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
IEEE Transactions on Geoscience and Remote Sensing
Earth
Planetary Sciences
Electrical
Electronic Engineering
Regularized Jacobi Wavelets Kernel for Support Vector Machines
Statistics, Optimization and Information Computing
Control
Information Systems
Pattern Recognition
Probability
Uncertainty
Computer Vision
Optimization
Statistics
Signal Processing
Artificial Intelligence
Classification of Mammogramsusing Support Vector Machine
International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
Support Vector Machines for Polycategorical Classification
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Adaptive Pixel Neighborhood Definition for the Classification of Hyperspectral Images With Support Vector Machines and Composite Kernel