Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction.
Valery A. ZheludevIlkka PölönenNoora Neittaanmäki-PerttuAmir AverbuchPekka NeittaanmäkiMari GrönroosHeikki SaariPublished in: Biomed. Signal Process. Control. (2015)
Keyphrases
- diffusion maps
- hyperspectral imaging
- dimensionality reduction
- target detection
- manifold learning
- nonlinear dimensionality reduction
- remote sensing
- hyperspectral
- low dimensional
- high dimensional
- pattern recognition
- principal component analysis
- high dimensional data
- feature extraction
- hyperspectral images
- feature selection
- high dimensionality
- data points
- infrared
- random projections
- dimensionality reduction methods
- principal components
- false alarms
- feature space
- singular value decomposition
- segmentation method
- lower dimensional
- semi supervised
- linear discriminant analysis
- input space
- segmentation algorithm
- feature vectors
- object recognition
- dimension reduction
- pairwise
- similarity measure
- action classification
- image segmentation