Svm, Cnn, Computer Vision, Machine Learning, Meta.
that capture domain knowledge of the invariances in the domain. They can also additionally incorporate composition and locality at multiple spatial scales. The resulting kernels appear to provide significantly superior classification performance in the small sample size regime that is of interest