Security Analysis of Network Protocols: Logical and Computational Methods John Mitchell Stanford University Logic and Computational Complexity, 2006.
Lecture 2: Convolution and edge detection CS4670: Computer Vision Noah Snavely From Sandlot ScienceSandlot Science.
Motion illusion, rotating snakes. Slide credit Fei Fei Li.
Computational Photography CSE 590 Tamara Berg Filtering & Pyramids.
Edge detection Goal: Identify sudden changes (discontinuities) in an image Intuitively, most semantic and shape information from the image can be encoded.
Improving Search Results Quality by Customizing Summary Lengths Michael Kaisser ★, Marti Hearst and John B. Lowe ★ University of Edinburgh, UC Berkeley,
Discriminative and generative methods for bags of features Zebra Non-zebra Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Edge Detection. Our goal is to extract a “line drawing” representation from an image Useful for recognition: edges contain shape information –invariance.
Security Analysis of Network Protocols: Logical and Computational Methods John Mitchell Stanford University ICALP and PPDP, 2005.
Lecture 2: Filtering CS4670/5670: Computer Vision Kavita Bala.
Video Games as Museum Interpretive Tools: A Preliminary Look KT Lowe, University of Michigan Graduate Certificate in Museum Studies 2011 MSI, Preservation.
Security Analysis of Network Protocols John Mitchell Stanford University.
