# 'Assume' diaporamas de présentation

## Lecture 5

Lecture 5 Rendering 3D graphical primitives 3D Rendering Example: 3D Rendering Pipeline 3D Rendering Pipeline Rendering How to render in different modes to get either a solid or an outlined object? OpenGL allows both sides of an object to be rendered in a different mode.

By andrew
(471 views)

## Computing handles and tunnels in 3D models

Computing handles and tunnels in 3D models. Tamal K. Dey Joint work: Kuiyu Li, Jian Sun, D. Cohen-Steiner. Projects in Jyamiti group. Surface reconstrucion (Cocone) Delaunay meshing (DelPSC) Shape feature processing (Segmatch, Cskel). Handle loops/Tunnel loops. Handle loops/Tunnel loops.

(631 views)

## Chapter 4

Chapter 4. The Divide-and-Conquer Strategy. A Simple Example. Finding the maximum of a set S of n numbers . Time Complexity. Time complexity: Calculation of T(n): Assume n = 2 k , T(n) = 2T(n/2)+1 = 2(2T(n/4)+1)+1 = 4T(n/4)+2+1 : =2 k-1 T(2)+2 k-2 + … +4+2+1

By issac
(368 views)

## Thinking Strategically

Thinking Strategically Analyze This Warner Brothers Production Budget: \$30,000,000 Both major characters in the movie are big funs of Tony Bennett WB’s initial offer to Tony Bennett for a performance is only \$15,000, but they ended up paying \$200,000.

By lotus
(411 views)

## Intuitive Physics: Across Tasks and Age

Introduction Methods Results References Conclusion Research Questions X ? Intuitive Physics: Across Tasks and Age Cedar Riener, Dennis Proffitt, Timothy Salthouse Department of Psychology University of Virginia Assessments Sample

By albert
(452 views)

## Passive versus Active Portfolio Management

Passive versus Active Portfolio Management Review of Market Efficiency Anomalies Market Timing A theoretical model of active portfolio management (Treynor-Black) Quantitative Investment Management Passive Management Buy and Hold Indexation

By ostinmannual
(716 views)

## Scanning Probe Microscope - SPM -

אוניברסיטת בן-גוריון בנגב הפקולטה למדעי ההנדסה המחלקה להנדסת חשמל ומחשבים Scanning Probe Microscope - SPM - Present Rony Levin Email levinbr@ee.bgu.ac.il Course Nanotechnology Number 361-2-0826 Lecturer Dr. Ilan Shalish Agenda Terms Definition Historical Overview SPM Overview

By paul2
(412 views)

## Volatility Derivatives Modeling

Volatility Derivatives Modeling Bruno Dupire Bloomberg NY NYU, January, 2005 Outline I Products II Models III The Skorohod Problem IV Lower Bound V Conclusion Volatility Products Historical Volatility Products Historical variance: OTC products: Volatility swap Variance swap

By jana
(1704 views)

## Human Evolution

Human Evolution Could the Ape Family Be Man’s Ancestor? There are two ways to approach this question. One is to investigate the DNA. The other is to investigate the fossil evidence.

By Audrey
(432 views)

## An Introduction to the SCC

An Introduction to the SCC Scarsdale Community Center “Building the Future Today” Our Objective A New Scarsdale Institution Programs for All Ages Housed in a New Facility Build on Successes of Library and Outdoor Pool = Enrich Life in the Community Agenda Site Selection

By Ava
(346 views)

## Chapter 6

Chapter 6. Programmable ASIC I/O Cells. Application-Specific Integrated Circuits Michael John Sebastian Smith Addison Wesley, 1997. I/O Requirements. I/O cells handle driving signals off chip, Receiving and conditioning external inputs, Supplying power and ground, and

By erika
(1495 views)

## Economics of Crime

Economics of Crime. Lent Term Ec 423: Labour Economics Lecture 10. Economics vs. Other Models of Crime. Individual factors Stress/strain Revenge Social Factors Learning/association Community tolerance/acceptance The Economics Approach is Incentive-based.

(320 views)

## Maximize Access and Coverage

Kristen West CHOICE Regional Health Network October 2003. Maximize Access and Coverage. A portfolio of best practices to provide better health for more people at less cost. Washington State. Mason. Grays Harbor. Mason Co. Department of Health Services.

By Donna
(202 views)

## Entropy and the Second Law of Thermodynamics

Entropy and the Second Law of Thermodynamics. Heat Engine and Refrigerators. A heat engine is a device that carries a working substance through a cyclic process, during which it. Absorbs thermal energy from a high-temperature source (H). The engine does work and .

By ostinmannual
(858 views)

## Transistors

Transistors. Transfer Resistor Chapter 9. Bipolar Transistors. Collector. Base. Emitter. Two PN junctions joined together Two types available – NPN and PNP The regions (from top to bottom) are called the collector (C), the base (B), and the emitter (E). Operation.

By Samuel
(486 views)

## Positive and negative politeness

Positive and negative politeness. The concept of „face“ and FTAs. Concepts of Politeness. Politeness ... “ … is one of the constraints of human interaction, whose purpose is to consider other`s feelings, establish levels of mutual comfort, and promote rapport.” Hill et al. (1986: 282)

By Gabriel
(1476 views)

## ENGR 345 Engineering Economy Breakeven Analysis

ENGR 345 Engineering Economy Breakeven Analysis. Dr. Lotfi Gaafar The American University in Cairo. Introduction to Breakeven Analysis. Breakeven Analysis in the context of Production planning addresses the decision of whether to make or buy a product.

By elina
(362 views)

## A ball inside the mouse touches the desktop and rolls when the mouse moves.

Inside a Mouse The main goal of any mouse is to translate the motion of your hand into signals that the computer can use. Almost all mice today do the translation using five components: . A ball inside the mouse touches the desktop and rolls when the mouse moves. .

By arleen
(252 views)

## Modeling Semantic Containment and Exclusion in Natural Language Inference

Modeling Semantic Containment and Exclusion in Natural Language Inference. Bill MacCartney and Christopher D. Manning NLP Group Stanford University 22 August 2008. Some . Some . no .

By Patman
(328 views)

## Agnostically learning halfspaces

Agnostically learning halfspaces. FOCS 2005. . . w.h.p. h: X! {0,1}. poly(1/  ) samples. P [h(x)  y] · opt + . P [f*(x)  y]. arbitrary dist. over (x,y) 2 X £ {0,1} f* = argmin f 2F P [f(x)  y]. L. Sellie. Agnostic learning. Set X , F class of functions f: X! {0,1}. .

By johana
(276 views)

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