Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
This is a great draft book about stochastic calculus and finance. It covers large number of topics such as Introduction to Probability Theory, Conditional Expectation, Arbitrage Pr...
"The book is the textbook for the programming languages course at Brown University, which is taken primarily by third and fourth year undergraduates and beginning graduate (bo...
"Standard ML is a type-safe programming language that embodies many innovative ideas in programming language design. It is a statically typed language, with an extensible type...