Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem.
Ashwani Kumar MalikMudasir A. GanaieM. TanveerPonnuthurai N. SuganthanPublished in: ICONIP (1) (2022)
Keyphrases
- classification models
- feature set
- classification accuracy
- machine learning approaches
- feature extraction
- feature vectors
- feature space
- classification method
- classification process
- support vector
- pattern recognition
- machine learning methods
- feature analysis
- extracting features
- svm classifier
- classification scheme
- support vector machine
- class labels
- feature values
- classification schemes
- machine learning models
- extracted features
- predictive power
- discriminative features
- image classification
- supervised learning algorithms
- learned models
- feature selection
- feature selection algorithms
- high dimensionality
- classification algorithm
- model selection
- image features
- rate distortion
- benchmark datasets
- bayesian classifier
- machine learning algorithms
- multi class
- video sequences
- machine learning
- feature selection and classification