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CS 691 Computational Photography

CS 691 Computational Photography. Instructor: Gianfranco Doretto Image Warping. f. f. f. T. T. x. x. x. f. x. Image Transformations. Image Filtering : change range of image g(x ) = T(f(x )). I mage W arping : change domain of image g(x ) = f(T(x )). T. T.

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Deep Learning

Deep Learning. Bing-Chen Tsai 1/21. outline. Neural networks Graphical model Belief nets Boltzmann machine DBN Reference. Neural networks. Supervised learning The training data consists of input information with their corresponding output information. Unsupervised learning

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Magic and Wizardry

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Alphardy By Dr. Jean

Alphardy By Dr. Jean. A for apple A A A. B for bounce B B B . C for cut C C C. D for dig D D D. E for elbow E E E. F for fan F F F. G for gallop G G G. H for hop H H H . I for itch I I I . J for jump J J J. K for kick K K K. L for love L L L.

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Learning Complex Concepts II

324 views • 21 slides

Work

Work. Colin Murphy, Kevin Su, and Vaishnavi Rao. Work (J if force is in N, ft-lb if force is in lb) Work = Force * distance Force (N)= mass * acceleration

259 views • 12 slides