Svm, Cnn, Computer Vision, Machine Learning, Meta.
problem of learning with small sample sizes, this paper shows how to incorporate into support-vector machines (SVMs) those properties that have made convolutional neural networks (CNNs) successful. The ability to incorporate domain knowledge of invariances, e.g., translational invariance of images