COMPONENTS TO PATTERN RECOGNITION
Feature Vector Space, typically high-dimensional (e.g., of dimension equal to number of pixels in image, multispectral, etc...).
Training examples produce scatterplots of points in feature space. Each example produces a point in feature space.
Develop a classifier in feature space that will maximize liklihood of correct classification for general example instances.