HVS-Inspired Dimensionality Reduction Model Based on Factor Analysis.
Zhigang ShangMengmeng LiYonghui DongPublished in: BIC-TA (2) (2016)
Keyphrases
- factor analysis
- dimensionality reduction
- independent component analysis
- discriminant analysis
- component analysis
- human visual system
- principal component analysis
- linear discriminant analysis
- high dimensional data
- low dimensional
- automatic model selection
- statistical tests
- high dimensional
- cluster analysis
- feature extraction
- correspondence analysis
- manifold learning
- data representation
- latent factors
- feature selection
- dimensionality reduction methods
- principal components
- matrix factorization
- data sets
- data points
- fisher discriminant analysis
- classification and regression trees
- kernel learning
- computer vision
- pattern recognition
- unsupervised learning
- image quality
- kernel pca
- kernel trick
- information criterion
- data analysis
- feature space