Introduction to probability, Fitting probability models, Learning and inference in vision, Regression and Classification models, Graphical Models, Models for chains, trees and grids, Models for shape, style and identity, Models for visual words
Bibliography of reference
"Computer Vision: Models, learning and inference", Simon Prince
"Cognitive Vision Systems: Sampling the Spectrum of Approaches" (Lecture Notes in Computer Science), Henrik I. Christensen and Hans-Hellmut Nagel .
"The Cognitive Neuroscience of Vision" (Fundamentals of Cognitive Neuroscience), Martha J. Farah
"Active Vision: The Psychology of Looking and Seeing" (Oxford Psychology Series), John M. Findlay and Iain D. Gilchrist.
"Pattern Recognition and Machine Learning", Christopher M. Bishop
"Learning with Kernels", Bernhard Schlkopf and Alexander J. Smola