Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification.
Ha Quang MinhMarco San-BiagioLoris BazzaniVittorio MurinoPublished in: CoRR (2016)
Keyphrases
- kernel methods
- infinite dimensional
- image classification
- finite dimensional
- reproducing kernel hilbert space
- kernel function
- learning problems
- kernel matrix
- feature extraction
- feature space
- convex sets
- support vector machine
- machine learning
- learning tasks
- support vector
- hilbert space
- shape space
- image features
- covariance matrix
- finite number
- classification accuracy