Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space.
Masoud Badiei KhuzaniHongyi RenVarun VasudevanLei XingPublished in: CoRR (2019)
Keyphrases
- multiple kernel learning
- feature space
- kernel function
- kernel methods
- feature selection
- kernel learning
- linear combination
- multiple features
- optimal kernel
- multiple kernel
- gaussian kernels
- learning problems
- feature vectors
- polynomial kernels
- high dimensional feature space
- lp norm
- input space
- principal component analysis
- support vector
- classification accuracy
- high dimensionality
- kernel matrix
- binary classification
- machine learning
- multi task
- feature set
- feature extraction
- dimensionality reduction
- image representation
- data points
- image retrieval
- learning models
- high dimensional
- text classification
- input data
- low dimensional
- metric learning
- hyperplane
- learning tasks
- semi supervised learning