'Initialization' presentation slideshows

Introduction to Algorithms Graph Algorithms

Introduction to Algorithms Graph Algorithms. CSE 680 Prof. Roger Crawfis. Partially from io.uwinnipeg.ca /~ ychen2. Graphs. Graph G = ( V , E ) V = set of vertices E = set of edges ? ( V ? V ) Types of graphs

856 views • 63 slides

Chapter 12

Chapter 12. Array. Convert Numbers in Different Base Systems. Generate values to a series of numbers in different base systems: Base is between 2 and 9; Maximum number of digits is 100. Number is NOT in reverse order! Example: 3 1201 Value = 1*3 3 + 2*3 2 + 0*3 + 1 = 46

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Camera Calibration class 9

Camera Calibration class 9. Multiple View Geometry Comp 290-089 Marc Pollefeys. Multiple View Geometry course schedule (subject to change). Single view geometry. Camera model Camera calibration Single view geom. Pinhole camera. Camera anatomy. Camera center Column points

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A Generalized Model for Financial Time Series Representation and Prediction

A Generalized Model for Financial Time Series Representation and Prediction. Author: Depei Bao Presenter: Liao Shu Acknowledgement: Some figures in this presentation are obtained from the paper. Outline of the Presentation. Introduction

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Data Mining - CSE5230

616 views • 36 slides

Standard Library Functions Outline

Standard Library Functions Outline. Programming: Return Type More on Function Arguments Function Argument Example Part 1 Function Argument Example Part 2 Function Argument Example Part 3 Using the C Standard Math Library Function Call in Assignment Function Call in printf

947 views • 36 slides

Rivier College CS575: Advanced LANs ATM LAN Emulation

ATM Network. LAN. Rivier College CS575: Advanced LANs ATM LAN Emulation. Jain. Overview. Why Do We Need ATM LAN Emulation? What is ATM LAN Emulation? Layered Protocol Architecture of Emulated LAN Basic LAN Emulation Principles LAN Emulation Components LANE Conceptual Configuration

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Progress report of LDPC codes

Progress report of LDPC codes. Advisor : Tzi-Dar Chiueh Student : Hsiu-min Lin Date : Jan 3 th , 2005. Outline. Overview of LDPC and related application LDPC algorithm Optimum decoding Various Log Likelihood Ratio (LLR) introduction Simulation result LDPC architecture

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Effectively and Efficiently Managing the Transition to IPv6

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Phylogenetic trees

Phylogenetic trees. Sushmita Roy BMI/CS 576 www.biostat.wisc.edu/bmi576/ sroy@biostat.wisc.edu Oct 3 rd , 2013. Phylogenetic tree construction. Distance-based methods Parsimony methods Probabilistic methods. Parsimony.

518 views • 24 slides

An Efficient and Fast Active Contour Model for Salient Object Detection

An Efficient and Fast Active Contour Model for Salient Object Detection. Authors: Farnaz Shariat , Riadh Ksantini, Boubakeur Boufama shariatf@uwindsor.ca ksantini@uwindsor.ca boufama@uwindsor.ca University of Windsor May 2009. Presentation Outline . Introduction Active contours

616 views • 22 slides

Silicon-based Quantum Computation

Silicon-based Quantum Computation. C191 Final Project Presentation Nov 30, 2005. Cheuk Chi Lo Kinyip Phoa Dept. of EECS, UC Berkeley. Silicon-based Quantum Computation: Presentation Outline. Introduction Proposals for Silicon Quantum Computers

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Computer Science: The Third Presentation

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THE COGNITIVE ENGINE : ARTIFICIAL INTELLIGENCE FOR WIRELESS COMMUNICATIONS

THE COGNITIVE ENGINE : ARTIFICIAL INTELLIGENCE FOR WIRELESS COMMUNICATIONS. Instructor: Dr.George Collins NIREESHA NAMBURU. Contents . Cognitive radio architecture Cognitive engine design Components descriptions 1.sensors 2.optimizer 3.decison maker

611 views • 18 slides

Development and validation of a Benthic Flux Model for the Adriatic Sea

WORKSHOP W10 Progetto VECTOR. (Rimini, 10-11 settembre 2007). Development and validation of a Benthic Flux Model for the Adriatic Sea. Zaffagnini F. 1 , Vichi M. 1,2 , Frascari F. 3 , Spagnoli F. 4 , Marcaccio M. 5 , Bergamini C. 3.

246 views • 13 slides

Lower-Power Distributed Event Detection in WSNs

Lower-Power Distributed Event Detection in WSNs. Y. Zhu, Y. Liu, M. Ni, Z. Zhang Presented by Shan Gao. Event Detection. Detect events which may occur momentarily. Two essential properties Physical events are usually persistent, which can last for seconds or even longer.

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659 views • 7 slides

Ens 117 Engineering computations

167 views • 7 slides

Variables and Function

Variables and Function. CS 10061 Introduction to Computer Programming. Variables and Functions. If two functions have a variable named limit, is there a single variable that they both use? If limit is changed in one function is it changed for the other function? Terminology

136 views • 5 slides