Representation and classification of high-dimensional biomedical spectral data.
Witold PedryczD. J. LeeNicolino J. PizziPublished in: Pattern Anal. Appl. (2010)
Keyphrases
- high dimensional
- spectral data
- high dimensionality
- feature extraction
- support vector
- hyperspectral images
- decision trees
- pattern recognition
- feature space
- classification accuracy
- feature selection
- image classification
- machine learning
- low dimensional
- support vector machine
- feature vectors
- nearest neighbor
- unsupervised learning
- support vector machine svm
- high dimensional data
- image data
- data points
- kernel function
- svm classifier
- multispectral
- image processing
- principal components
- computer vision
- partial least squares
- data sets
- proteomic data