PPT-7-6 Similarity Transformations

p 511 You identified congruence transformations Identify similarity transformations Verify similarity after a similarity transformation Definitions Transformation an operation that maps an original figure . 1 2D Transformations Given a point cloud polygon or sampled parametric curve w e can use transformations for several purposes 1 Change coordinate frames world window viewport devic e etc 2 Compose objects of simple parts with local scaleposition orie energies. D.A. . Artemenkov. , G.I. . . Lykasov. , . A.I. . . Malakhov. Joint Institute for Nuclear Research. malakhov@lhe.jinr.ru. Hadron Structure 2015, June 29 – July 3, 2015, . Horn. ý. . . . Multi-label Protein Subcellular Localization. Shibiao WAN and Man-Wai MAK. The Hong Kong Polytechnic University. Sun-Yuan KUNG. Princeton University. Outline. Introduction and Motivation. Retrieval of GO Terms. -. based Clustering. Mohammad. . Rezaei. , Pasi Fränti. rezaei@cs.uef.fi. Speech. and . Image. . Processing. . Unit. University of Eastern Finland. . August 2014. Keyword-Based Clustering. An object such as a text document, website, movie and service can be described by a set of keywords. WordNet. Lubomir. . Stanchev. Example . Similarity Graph. Dog. Cat. 0.3. 0.3. Animal. 0.8. 0.2. 0.8. 0.2. Applications. If we type . automobile. . in our favorite Internet search engine, for example Google or Bing, then all top results will contain the word . Rishabh. Singh and . Sumit. . Gulwani. FlashFill. Transformations. Syntactic Transformations . Concatenation of regular expression based substring. “VLDB2012” .  “VLDB”. Semantic Transformations. Maurice J. . Chacron. and Kathleen E. Cullen. Outline. Lecture 1: . - Introduction to sensorimotor . . transformations. - . The case of “linear” sensorimotor . transformations: . Case-based reasoning. Introduction. Common term in everyday language, where two objects usually are considered similar if they look or sound similar. Similarity is a core concept within CBR. From a CBR perspective: «Two problems are similar if they have similar solutions». 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) . What is a Parent Function. A parent function is the most basic version of an algebraic function.. Types of Parent Functions. Linear f(x) = mx b. Quadratic f(x) = x. 2. Square Root f(x) = √x. Exponential f(x) = . Graph: .  . What is the parent function for this graph?. What does the parent function look like?. Shape is a V. Vertex is (0, 0). Slope is 1, opens up. How is the graph above different from the parent function?. Quiz. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. 3. Deer-mouse. 4. Deer-roof. Quiz Answer. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. 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.