Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing.
Nicholas J. RosevearePeter J. SchreierPublished in: ICASSP (2015)
Keyphrases
- model order selection
- preprocessing
- data sets
- canonical correlation analysis
- principal component analysis
- feature extraction
- dimensionality reduction methods
- parameter tuning
- dimensionality reduction
- principal components
- preprocessing step
- principal components analysis
- real world data sets
- dimension reduction
- training set
- feature space
- post processing
- training data
- face recognition
- database
- partial least squares
- benchmark data sets
- synthetic data
- face images
- independent component analysis
- cluster analysis
- covariance matrix
- negative matrix factorization
- high dimensional data
- input data
- computer vision
- data streams