PPT-Geometric Transformations

CSE 455 Ali Farhadi Many slides from Steve Seitz and Larry Zitnick What are geometric transformations Translation Preserves Orientation Translation and rotation Scale Similarity transformations. 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.. 1. The geometric protean model for . on-line social networks. Anthony Bonato. Ryerson . University. Toronto. WAW’10. December 16, . 2010. Geometric model for OSNs. 2. Complex . Networks. web graph, social networks, biological networks, internet networks. Rishabh. Singh and . Sumit. . Gulwani. FlashFill. Transformations. Syntactic Transformations . Concatenation of regular expression based substring. “VLDB2012” .  “VLDB”. Semantic Transformations. Series. Find sums of infinite geometric series.. Use mathematical induction to prove statements.. Objectives. infinite geometric series. converge. limit. diverge. mathematical induction. Vocabulary. In Lesson 12-4, you found partial sums of geometric series. You can also find the sums of some infinite geometric series. An . Section 8.3 beginning on page 426. Geometric Sequences. In a . geometric sequence. , the ratio of any term to the previous term is constant. This constant ratio is called the . common ratio. . and is denoted by . 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) . Michael . Drabkin. MD. Lauren Senior, Uma Kanth, Allison Rubin MD, Steven Lev MD. ASNR 2015 Annual . Meeting. eEdE. #: eEdE-85. Control #: 772 . Disclosures. Nothing to disclose.. Purpose. To provide the radiologist with a pattern approach to head CT interpretation based on templates of interconnected geometric shapes. The viewer is encouraged to think from general to specific and consider spatial relationships. Cases will demonstrate the utility of this framework to everyday practice.. 4. 3. 2. 1. 0. In addition to level 3.0 and above and beyond what was taught in class,  the student may:. · Make connection with other concepts in math. · Make connection with other content areas.. 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) = . AP Statistics B. Overview of Chapter 17. Two new models: Geometric model, and the Binomial model. Yes, the binomial model involves Pascal’s triangles that (I hope) you learned about in Algebra 2. Use the geometric model whenever you want to find how many events you have to have before a “success”. Delta On-Time Performance at Hartsfield-Jackson Atlanta International (June, 2003 - June, 2015). http://www.transtats.bts.gov/OT_Delay/ot_delaycause1.asp?display=data&pn=1. Data / Model. Total Operations: 2,278,897. . 16-385 Computer Vision. Spring 2019, . Lecture 7. http://www.cs.cmu.edu/~16385/. Course announcements. Homework 2 is posted on the course website.. - It is due on February 27. th. at 23:59 pm.. - Start early because it is much larger and more difficult than homework 1.. 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.