Svm, Cnn, Computer Vision, Machine Learning, Meta.
probability for kernels based on the maximum similarity in the small training sample set regime of interest and that they do yield the best results in that regime. We also show how additional properties such as their ability to incorporate local features at multiple spatial scales, e.g., as done in