Texture classification using feature selection and kernel-based techniques.
Carlos Fernandez-LozanoJosé Antonio Seoane FernándezMarcos GestalTom R. GauntJulian DoradoColin CampbellPublished in: Soft Comput. (2015)
Keyphrases
- feature selection
- support vector
- support vector machine
- text categorization
- mutual information
- texture classification
- multi class
- kernel methods
- multiscale
- dimensionality reduction
- hilbert schmidt independence criterion
- irrelevant features
- feature ranking
- feature weighting
- machine learning
- high dimensionality
- gene expression data
- microarray data
- classification models
- rotation invariant
- multiple kernel learning
- feature space
- feature set
- binary classification tasks
- feature extraction
- model selection
- unsupervised feature selection
- sparse kernel
- classification accuracy