Pattern recognition based on canonical correlations in a high dimension low sample size context.
Mitsuru TamataniInge KochKanta NaitoPublished in: J. Multivar. Anal. (2012)
Keyphrases
- high dimension
- sample size
- small sample
- pattern recognition
- model selection
- canonical correlations
- real valued
- high dimensional
- random sampling
- covariance matrix
- neural network
- worst case
- feature space
- high dimensional data
- input space
- feature selection
- upper bound
- computer vision
- image processing
- hyperparameters
- dimensionality reduction
- feature extraction
- discriminant analysis
- support vector machine
- data analysis
- discriminative learning
- machine learning
- data sets