PPT-LESSON TEN YOUR STARTER What will happen in Act 4, Scene 1? Infer what you can from the

YOUR TASK ACT 3 SCENE 5 TODAYS KEY QUESTIONS Can I read understand and respond to texts Can I consider the social and historical context of Macbeth and discuss its significance Can I analyse the language in a scene and explain its significance. T he images can be obtained using muliple cameras or one mo ving camera T he term binocular vision is used when tw oc ameras are emplo yed brPage 2br 2 Ster eo setup and terminology Fixation point the point of intersection of the optical axis Baseli which show . distinctively visual images . of . Memorable events and ideas. . in . The Shoehorn Sonata . “. bickering. ”: . when close friends (or couples) . argue . in . a non-threatening . way about something unimportant. Samantha Huerta. u. nder the direction of Professor Susan Rodger. Duke University. June 2014. About the world. This is a starter world. You can modify this world to create a story with multiple scenes. There are 7 different scenes positioned in the world. You will be able to replace the ground and objects in each scene with your own objects.. Building software with intelligence. John Winn and John Guiver. Microsoft Research, Cambridge, UK. VTL03. Intelligent Software. Search result?. Word?. Who’s the best?. Clicks. Gestures. Game results. probabilistic programming. John Winn. 30. th. June 2010. How can . I write smart software?. How can . I do smart data analysis?. Revise model/method. Why probabilistic programming?. Define . model. Choose . Jerry . Uelsmann. Analog/Darkroom – uses up to 7 negatives. Maggie Taylor. Digital – scans of vintage photographs. Robert and Shauna . ParkeHarrison. Both Analog and Digital – Robert is the model. Characters. Most of the characters in these thriller movies tend to be more human than characters you would see in an action movie for example, no matter how much better the characters are than actual humans they still are very human in nature. An example would be Jason Bourne in the Bourne films as he is able to calculate what will happen at what time much better than any normal human could do, and yet still shows human emotions which makes the viewer feel that the person on screen is still human.. Many slides adapted from S. Seitz. Multi-view . stereo. Generic problem formulation: given several images of the same object or scene, compute a representation of its 3D shape. Reconstruction (side). Erica Salmons. The WHAT and the WHY!. Reading Informational Text . 7.1. Cite several pieces of textual evidence to support analysis of what the text says . explicitly. as well as . inferences. drawn from the text.. assume . guess. come to the conclusion. suspect. All of these are inferences; to infer is the same thing as to assume, guess, conclude, or suspect.. When you look at information, you can INFER (assume, guess, come to the conclusion, suspect) things that are not plainly stated or shown. . TODAY’S KEY QUESTIONS:. Can I read, understand and respond to texts?. Can I . consider the social and historical context of ‘Macbeth’ and discuss its significance?. Can I analyse the language in a scene and explain its significance?. Classification, Annotation and Segmentation in an . Automatic . Framework. Li-. Jia. Li, Richard . Socher. , Li . Fei-Fei. 1. 2. City Travel. Pagoda. Sunrise. Sunshine. Sun. 3. City Travel. Pagoda. Sunrise. Visual Persuasion in a Litigation Trial: The Case of Real Photographic Images vs. Sketched Images This study was designed to determine which kinds of graphic images were most useful as evidence in trials. Visual Persuasion in a Litigation Trial: The Case of Real Photographic Images vs. Sketched Images This study was designed to determine which kinds of graphic images were most useful as evidence in trials.