Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition.
Peng SongWenming ZhengPublished in: IEEE Trans. Affect. Comput. (2020)
Keyphrases
- subspace learning
- speech emotion recognition
- feature selection
- dimensionality reduction
- manifold learning
- high dimensionality
- data representation
- principal component analysis
- face recognition
- sparse representation
- low dimensional
- feature extraction
- feature space
- high dimensional data
- learning algorithm
- sparse coding
- mutual information
- dimension reduction
- machine learning
- semi supervised
- high dimensional
- unsupervised learning
- maximum margin criterion
- subspace learning algorithm
- support vector
- text classification
- transfer learning
- knn
- support vector machine
- neural network
- pattern recognition
- multi task
- high resolution
- image retrieval
- linear discriminant analysis
- feature set