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Название: Mathematical methods in computer vision and image processing
Автор: Jiang M.
In this course, we will study some mathematical models and problems associated with basic problems in computer vision and digital image processing. The mathematical models are set up with various mathematical theories, ranging from Bayesian inference approach, Markov random fields, variational calculus, scale space theory, partial differential equations, to stochastic differential equations.