Semi-supervised minimum redundancy maximum relevance feature selection for audio classification.
Xu-Kui YangLiang HeDan QuWei-Qiang ZhangPublished in: Multim. Tools Appl. (2018)
Keyphrases
- minimum redundancy
- feature selection
- semi supervised
- classification accuracy
- text classification
- feature selection algorithms
- feature set
- support vector
- text categorization
- feature extraction
- classification models
- high dimensionality
- support vector machine
- unsupervised learning
- model selection
- machine learning
- information gain
- dimensionality reduction
- supervised learning
- feature space
- pattern recognition
- classification performances
- multi class
- dimension reduction
- method for feature selection
- decision trees
- feature subset
- irrelevant features
- feature selection and classification
- semi supervised learning
- multimedia
- naive bayes
- support vector machine svm
- labeled data
- knn
- feature vectors
- selected features
- discriminative features
- music genre classification
- supervised and unsupervised learning
- redundant features
- unlabeled data
- feature ranking
- labeled and unlabeled data
- feature weighting
- decision boundary
- machine learning methods
- k nearest neighbor
- pairwise
- information retrieval