PPT-Quantifying Visual Abstraction Quality for Stipple Drawings
Author : tatiana-dople | Published Date : 2018-01-08
Marc Spicker Visual Computing Group University of Konstanz Germany Motivation Stippling Illustration technique creating the appearance of shading by placing only
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Quantifying Visual Abstraction Quality for Stipple Drawings: Transcript
Marc Spicker Visual Computing Group University of Konstanz Germany Motivation Stippling Illustration technique creating the appearance of shading by placing only dots 1 Too few dots Too many dots. of Synchronization. Greta . Yorsh. Eran. . Yahav. Martin . Vechev. IBM Research. { . . ………………. . …… . ………………….. . …………………….. …………………………. Coming to Grips with Complexity in Verification. Ken McMillan. Microsoft Research. TexPoint fonts used in EMF: . A. A. A. A. A. Need for Formal Methods that Scale. We design complex computing systems by debugging. 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. Occurs through a process of . simplification. or . distortion. in an attempt to communicate an . essential aspect. of a form or concept. Varying degrees of resemblance to the real world. Abstraction. Sushrut Thorat | Manasvita Vashisth. What is Abstraction?. Abstraction is the process of taking away or removing characteristics from something to reduce it to some set of essential characteristics. .. with Bounds. Outline. Motivation. Abstractions . of extensive-form games. Theoretical guarantees on abstraction quality. Computing . abstractions. Hardness. Algorithms. Experiments. Nash equilibrium. Quantifying. . Metadata. . Quality. Werner Bailer . | . Europeana. AGM 2015. The Problem. Metadata. . from. . many. . sources. Heterogeneous. . formats. . (. and. . thus. . conversions. ). Different . Tushar Sharma. and Thomas Reps. SAS’17. Motivations. Prove Program Assertions. Function and loop summaries. Sound with respect to . bitvectors. A New Abstraction Framework for Affine Transformers. T. Sharma and T. Reps. SAS'17. Edward J. Schwartz. Software Engineering Institute. Carnegie Mellon University. 12/9/2014. PPREW: Abstraction Recovery. 1. The Gap Between . Binary and Source Code. push. . %. ebp. mov. . %. esp. Objectives. Specify the contents, formatting, and organization of engineering drawings. Correctly prepare and interpret formal, professional engineering drawings. Objectives (cont’d.). Discuss the primary differences between drawings used in manufacturing projects and those used in construction projects. Government Abstraction Reform and Water ‘Rights’ Henry Leveson-Gower 19 March 2013 Contents - Context: Water White Paper and Bill Abstraction Reform Why we are reforming Emerging reform options Implications for ‘rights’ 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.
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