Subspace method for multiparameter-eigenvalue problems based on tensor-train representations.
Koen RuymbeekKarl MeerbergenWim MichielsPublished in: CoRR (2020)
Keyphrases
- subspace methods
- eigenvalue problems
- linear discriminant analysis
- face recognition
- ensemble methods
- lower dimensional
- principal component analysis
- benchmark datasets
- blind source separation
- machine learning
- evolutionary algorithm
- support vector machine
- data sets
- dimensionality reduction
- training set
- pattern recognition
- support vector
- linear subspace
- computer vision