Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.
Ming-Bo ZhaoBing LiZhou WuChoujun ZhanPublished in: Neurocomputing (2015)
Keyphrases
- discriminant analysis
- kernel regression
- image classification
- semi supervised
- least squares
- feature extraction
- linear regression
- regression model
- linear discriminant analysis
- nadaraya watson
- regression methods
- face recognition
- graph embedding
- supervised learning
- factor analysis
- partial least squares
- principal component analysis
- unlabeled data
- semi supervised learning
- labeled data
- unsupervised learning
- image features
- parameter optimization
- cluster analysis
- manifold learning
- subspace learning
- active learning
- pairwise
- parameter estimation
- computer vision
- sparse representation
- data sets
- data mining techniques
- pattern recognition
- image processing