Semi-supervised Locality Preserving Discriminant Analysis for hyperspectral classification.
Ying HuangZhuo SunPublished in: CISP-BMEI (2016)
Keyphrases
- discriminant analysis
- hyperspectral
- locality preserving
- dimensionality reduction methods
- hyperspectral images
- semi supervised
- face recognition
- feature extraction
- linear discriminant analysis
- locality preserving projections
- supervised learning
- manifold learning
- dimensionality reduction
- remote sensing
- pattern recognition
- graph embedding
- infrared
- support vector machine svm
- kernel trick
- image data
- decision trees
- pairwise
- target detection
- hyperspectral imagery
- partial least squares
- computer vision
- pairwise constraints
- principal component analysis
- image classification
- multispectral
- unsupervised learning
- semi supervised learning
- feature vectors
- support vector machine
- text classification
- active learning
- svm classifier
- regression algorithm
- machine learning