Spectrally adapted Mercer kernels for support vector nonuniform interpolation.
Carlos FigueraÓscar Barquero-PérezJosé Luis Rojo-ÁlvarezManel Martínez-RamónAlicia Guerrero-CuriesesAntonio J. CaamañoPublished in: Signal Process. (2014)
Keyphrases
- mercer kernels
- support vector
- gaussian kernels
- learning algorithm
- feature space
- kernel methods
- decision boundary
- kernel function
- multiscale
- support vector machine
- machine learning
- hyperplane
- training data
- similarity measure
- linear combination
- cross validation
- pattern classification
- rbf network
- multiple kernel learning
- feature extraction