Svm, Cnn, Computer Vision, Machine Learning, Meta.
network benchmarks for small sample sizes. Background In the early 2000s, SVMs were one of the most effective methods for image classification. They had a firm theoretical foundation of margin maximization which is especially important in high dimensions, and a kernel method to make