PPT-Multi-Abstraction Concern Localization

TienDuy B Le Shaowei Wang and David Lo School of Information Systems Singapore Management University 1 Motivation Concern Localization Locating code units that match a text descriptions. Retrieval. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. : . Multi-criterion representation . for scene . understanding. Moos . Hueting. ∗ . Aron. . Monszpart. ∗ . Nicolas . Mellado. University College London. https://www.imagestore.ucl.ac.uk/home/pcache/10002/aa/black_ad80e.jpg. WELCOME. to the inaugural. Game Localization Summit @ GDC. Co-Advisors of the Game Localization Summit and chairs of the . IGDA Localization SIG:. Miguel Á. Bernal-Merino . (Roehampton University), SIG Vice-Chair. of . Multi-class Scatterplots. Haidong . Chen. , . Wei . Chen, . Honghui. . Mei, . Zhiqi. . Liu, Kun Zhou, . Weifeng. Chen, . Wentao. . Gu. , Kwan-Liu Ma. Motivations. Multi-class scatterplots. Aid comparison. Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. String . Verification. Given a string manipulating program, . string . analysis . determines . all possible values . that a string expression can take during any program execution. Using string analysis we . Techniques. – A . Practical Application Perspective. March . 2014. Presentation summary on the work in. Neumayr. , B., . Schrefl. , M., & . Thalheim. , B. (2011). . Modeling. techniques for multi-level abstraction. . David Johnson. cs6370. Basic Problem. Go from this to this. [Thrun, Burgard & Fox (2005)]. . Kalman . Filter. [Thrun, Burgard & Fox (2005)]. . Kalman Limitations. Need initial state and confidence. Way of classifying information from abstract (general) to concrete (specific) . . Level 4:. Abstractions. Level 3: . Noun Classes, broad group names with little specification. Level 2:. Noun Categories, more definite groups. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. Hierarchy. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. checks at port of entryU.S. CUSTOMS AND BORDER PROTECTIONReceives AOR from domestic Pre-screens applicants before the USCIS interview! Educates the applicant about the process! Prepares the case ! checks at port of entryUS CUSTOMS AND BORDER PROTECTIONReceives AOR from domestic Pre-screens applicants before the USCIS interview Educates the applicant about the process Prepares the case