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Transform space - PowerPoint PPT Presentation


Inference in generative models of images and video

Inference in generative models of images and video

Inference in generative models of images and video. John Winn MSR Cambridge May 2004. Overview. Generative vs. conditional models Combined approach Inference in the flexible sprite model Extending the model. Generative vs. conditional models.

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582 views • 40 slides



Diversity Algorithms for Worrisome Software and Networks (DAWSON)

Diversity Algorithms for Worrisome Software and Networks (DAWSON)

Diversity Algorithms for Worrisome Software and Networks (DAWSON) . James Just, GITI Karl Levitt & Jeff Rowe, UC Davis. The DAWSON Team. Global InfoTek, Inc (GITI) James Just , Bruce Wilner, Mark Cornwell UC Davis Karl Levitt, Hao Chen, Zhendong Su, Jeff Rowe

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472 views • 35 slides


Hough Transform

Hough Transform

Hough Transform. Given marked edge pixels, find examples of specific shapes Line segments Circles Generalized shapes (GHT) Basic idea - Patented 1962 Every edge pixel is a point that votes for all shapes that pass through it. Votes are collected in “parameter space” - look for peaks

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313 views • 8 slides


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