Mean Map Kernel Methods for Semisupervised Cloud Classification.
Luis Gómez-ChovaGustavo Camps-VallsLorenzo BruzzoneJavier Calpe-MaravillaPublished in: IEEE Trans. Geosci. Remote. Sens. (2010)
Keyphrases
- kernel methods
- support vector
- feature space
- support vector machine
- machine learning
- kernel function
- learning problems
- multiple kernel learning
- kernel learning
- semi supervised
- high dimensional feature space
- kernel machines
- classification accuracy
- decision trees
- reproducing kernel hilbert space
- kernel matrix
- kernel principal component analysis
- feature selection
- classification method
- support vector machine svm
- feature vectors
- supervised learning
- svm classifier
- kernel fisher discriminant analysis
- kernel matrices
- tree kernels
- feature extraction
- graph kernels
- preprocessing
- kernel pca
- text classification
- learning tasks
- labeled and unlabeled data
- face recognition
- labeled data
- multiple kernel
- density estimation