TV-SVM: Support Vector Machine with Total Variational Regularization.
Zhendong ZhangCheolkon JungPublished in: ICASSP (2018)
Keyphrases
- support vector machine
- support vector machine svm
- support vector
- svm classifier
- multiplicative noise removal
- multi class
- statistical learning theory
- variational formulation
- svm classification
- kernel methods
- feature vectors
- hyperplane
- training data
- polynomial kernels
- feature selection
- generalization ability
- support vectors
- machine learning
- decision boundary
- classification algorithm
- support vector machine classifiers
- high classification accuracy
- empirical risk minimization
- stochastic gradient descent
- variational framework
- reproducing kernel hilbert space
- feature space
- training set
- kernel machines
- total variation regularization
- knn
- multi class svm
- k nearest neighbor
- image segmentation
- kernel function
- soft margin
- binary classification
- total variation
- decision forest
- decision function
- inverse scale space
- linear support vector machines
- classification method
- sequential minimal optimization
- regularization methods
- structured output
- feature extraction
- parameter selection
- regularization method
- reduced set
- regularization term
- support vector regression
- dimension reduction methods
- latent variables
- learning algorithm