Hyper spectral dimensionality reduction using hybrid discriminative local metric learning.
R. VenkatesanS. PrabuPublished in: Microprocess. Microsystems (2019)
Keyphrases
- metric learning
- dimensionality reduction
- hyperspectral
- discriminative information
- semi supervised
- margin maximization
- distance metric learning
- unsupervised learning
- feature extraction
- feature selection
- kernel matrix
- distance metric
- infrared
- multispectral
- principal component analysis
- pattern recognition
- high dimensional
- image data
- mahalanobis metric
- feature space
- high dimensionality
- remote sensing
- pairwise
- random projections
- learning tasks
- high dimensional data
- information content
- manifold learning
- linear discriminant analysis
- euclidean distance
- low dimensional
- multi task
- dimensionality reduction methods
- satellite images
- kernel learning
- data points
- supervised learning
- computer vision
- nonlinear dimensionality reduction
- distance function