Kernel Trick, Support Vector Machine, Svm, Machine Learning, Data Science.
take your images, you compute features, you string the features for each image into a vector, and you feed these “feature vectors” and labels into a learning algorithm. Kernels offer an alternative. Instead of defining a slew of features, you define a single kernel function to compute similarity