Field of vision workbook pdf4/28/2023 ![]() We will also study the interactions and integration of these models, and develop a general unified theory for pusuing statistical models over a series of probabilisticįamilies. ![]() We start with one layer models to study the principles and models to gain in-depth understanding, and then move to multi-layered structures (compatible with Deep Neural Networks) to scale up performances. More specifically we study two classes of statistical models: 1) Descriptive models (Markov random fields, Gibbs distributions) andĢ) Generative models (sparse coding, auto-encoding). ![]() Stat 232A is focused on images models in David Marr's paradigm. This is the first of a series of graduate level courses (Stat232A, B and C) that introduce the principles, theories, and algorithms for modeling complex patterns in vision and cognition. ![]()
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