PPT-Accuracy-Aware Program Transformations

Sasa Misailovic MIT CSAIL Collaborators Martin Rinard Michael Carbin Stelios Sidiroglou Henry Hoffmann Deokhwan Kim Fan Long Daniel Roy Zeyuan Allen Zhu Michael Kling . a 12 22 a a mn is an arbitrary matrix Rescaling The simplest types of linear transformations are rescaling maps Consider the map on corresponding to the matrix 2 0 0 3 That is 7 2 0 0 3 00 brPage 2br Shears The next simplest type of linear transfo Ch. 2 Lesson 3. Pg. 123. What will you will learn?. Enlarge Photographs. Make something from a pattern. Identify Similarity. Two figures are . similar. if the second can be obtained from the first by a sequence of transformations and dilations. . November 5, 2012. . Ms. Smith. Mrs. Malone. DO NOW. :. Date. : . November 5, 2012. 6.9C . demonstrate . energy transformations such as how energy in a flashlight battery changes from chemical energy to electrical energy to light energy.. Lecture 3. Jitendra. Malik. Pose and Shape. Rotations and reflections are examples. of orthogonal transformations . Rigid body motions. (Euclidean transformations / . isometries. ). Theorem:. Any rigid body motion can be expressed as an orthogonal transformation followed by a translation.. Michael Carbin. Deokhwan. Kim, . Sasa. . Misailovic. , and Martin C. . Rinard. Approximate Computing. Media Processing, Machine Learning, Search. Solution Space: Accuracy versus Cost. Accuracy. Time/. Maurice J. . Chacron. and Kathleen E. Cullen. Outline. Lecture 1: . - Introduction to sensorimotor . . transformations. - . The case of “linear” sensorimotor . transformations: . Affine transformations . preserve. affine combinations of points. . . Affine transformations preserve lines and planes.. . Parallelism of lines and planes is preserved. . The columns of the matrix reveal the transformed coordinate frame.. Learning Targets: 8.G.2,8.G.3, 8.G.4. Follow the slides to learn more about transformations. Students should have paper and a pencil for notes at their desk while going through this presentation.. Transformation: a transformation is a change in position, shape or size.. in real life. HW: Maintenance Sheet 3 . (7-8). I can use the properties of translations, rotations, and reflections on line segments, angles, parallel lines or geometric figures. . I can show and explain two figures are congruent using transformations (explaining the series of transformations used) . its . unique strengths and capacity to effect change; it also knows its limitations and boundaries.. Self. -aware organizations are committed to learning and continuous improvement. . Sometimes this involves formal assessment mechanisms, other times it might be as informal as a brown bag lunch. . & Community Engagement. EllynGetz@ciscrp.org. . 617-725-2750 x320. INSIGHTS ON EFFECTIVE COMMUNICATION & OUTREACH AMONG PATIENTS AND ADVOCACY GROUPS . Highlight key success factors and challenges of community engagement activity. . . Compiler Techniques to Fight Bias and Correlated Errors on NISQ Hardware. Compiler: Program Transformation. Classical Program Transformation. Program Transformation. P. P’. Caveat:. P , P’ are semantically equivalent programs . CS5670: Computer Vision. Reading. Szeliski. : Chapter 3.6. Announcements. Project 2 out, due Thursday, March 3 by 8pm. Do be done in groups of 2 – if you need help finding a partner, try Ed Discussions or let us know. for 360-Degree Video Streaming. . Zhetao. Li . Fei . Gui. . Xiangtan University . Jinkun. . Geng. Dan Li . Tsinghua University . Zhibo. Wang . Wuhan University .