Learning Tensor-Based Features for Whole-Brain fMRI Classification.
Xiaonan SongLingnan MengQiquan ShiHaiping LuPublished in: MICCAI (1) (2015)
Keyphrases
- feature space
- feature extraction
- learning algorithm
- learning process
- supervised learning
- feature vectors
- classification accuracy
- feature set
- classification process
- discriminative learning
- learning phase
- benchmark datasets
- feature construction
- machine learning
- incremental learning
- pattern classification
- visual object recognition
- extracted features
- class labels
- classification models
- learning tasks
- unsupervised learning
- online learning
- image classification
- data analysis
- pattern recognition
- classification method
- svm classifier
- learning models
- feature representation
- extracting features
- support vector
- histogram intersection kernel