Svm, Cnn, Computer Vision, Machine Learning, Meta.
inapplicable in applications where data is expensive or scarce, e.g., medical data. For these reasons, there is an interest in methodologies for learning efficiently from very few samples, which is the focus of this paper. Conclusion In this paper, we have developed transformation-invariant kernels