A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines.
Lingfeng NiuXi ZhaoYong ShiPublished in: WI-IAT (1) (2014)
Keyphrases
- decomposition algorithm
- working set
- learning machines
- support vector
- working set selection
- decomposition method
- large margin classifiers
- training examples
- vc dimension
- support vector machine
- number of iterations required
- upper bound
- equality constraints
- linear svm
- lower bound
- first order logic
- decomposition methods
- svm classifier
- support vectors
- neural network
- kernel function
- worst case
- feature vectors
- training set
- recognition algorithm
- logistic regression
- supervised learning
- spatio temporal
- image sequences
- training support vector machines
- feature selection