Discriminative Metric Learning on Extended Grassmann Manifold for Classification of Brain Signals.
Yoshikazu WashizawaPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2016)
Keyphrases
- metric learning
- grassmann manifold
- semi supervised
- nearest neighbor classifier
- pattern recognition
- feature space
- distance metric
- classification accuracy
- feature selection
- feature extraction
- brain signals
- decision trees
- pairwise
- feature vectors
- dimensionality reduction
- image classification
- text classification
- multi task
- learning tasks
- machine learning
- training set
- unsupervised learning
- model selection
- brain computer interface
- eeg signals
- face recognition
- stochastic gradient
- feature set
- collaborative filtering