VLSI implementation of LS-SVM training and classification using entropy based subset-selection.
Andreas BytynJannik SpringerRainer LeupersGerd AscheidPublished in: ISCAS (2017)
Keyphrases
- subset selection
- vlsi implementation
- svm training
- generalization ability
- feature selection
- pattern recognition
- support vector machine
- decision trees
- svm classification
- feature space
- support vector machine svm
- classification accuracy
- machine learning
- classification models
- training samples
- feature vectors
- stochastic gradient descent
- classification method
- kernel methods
- support vector
- benchmark datasets
- svm classifier
- training procedure
- hill climbing
- neural network
- image processing
- image segmentation
- feature extraction
- training data
- machine learning methods
- cross validation
- lower bound
- artificial neural networks
- image classification
- dimensionality reduction