CONTENT
Introduction to probability -- Common probability distributions -- Fitting probability models -- The normal distribution -- Learning and inference in vision -- Modeling complex data densities -- Regression models -- Classification models -- Graphical models -- Models for chains and trees -- Models for grids -- Image preprocessing and feature extraction -- The pinhole camera -- Models for transformations -- Multiple cameras -- Models for shape -- Models for style and identity -- Temporal models -- Models for visual words -- Optimization -- Linear algebra
SUBJECT
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Computer vision
LOCATION | CALL# | STATUS |
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Central Library (4th Floor) | 006.37 P957C |
CHECK SHELVES
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