Mahalanobis distance on Grassmann manifold and its application to brain signal processing.
Yoshikazu WashizawaSeiji HottaPublished in: MLSP (2012)
Keyphrases
- mahalanobis distance
- signal processing
- grassmann manifold
- stochastic gradient
- noise model
- covariance matrix
- euclidean distance
- component analysis
- subspace learning
- image set
- metric learning
- image processing
- distance metric
- sparse representation
- nearest neighbor classifier
- data distribution
- computer vision
- independent component analysis
- natural images
- machine learning