Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs.
Shikha GuptaAroor Dinesh DileepVeena ThenkanidiyoorPublished in: EUSIPCO (2016)
Keyphrases
- support vector
- feature space
- support vector machine
- support vector machine svm
- feature vectors
- machine learning
- feature selection
- svm classifier
- kernel function
- classification accuracy
- multiple kernel learning
- generalization ability
- margin maximization
- svm classification
- lung disease
- image classification
- multi class classification
- kernel methods
- classification algorithm
- multi class
- linear svm
- multiresolution
- multiscale
- decision boundary
- image pyramids
- decision trees
- training set
- logistic regression
- classification method
- rbf kernel
- polynomial kernels
- pattern recognition
- training samples
- multi class svms
- string kernels
- kernel principal component analysis
- neural networks and support vector machines
- multiclass classification
- binary classification
- cost sensitive
- speech recognition
- majority voting
- support vectors
- structured learning
- class labels
- loss function
- supervised learning
- active learning
- feature extraction
- learning algorithm