'Matrix vector' diaporamas de présentation

Introduction to Computer Vision Chapter 6: Geometric Transformations

Introduction to Computer Vision Chapter 6: Geometric Transformations. Yuheng Wang yxw9636@rit.edu 10/11/2012. Outline. Geometric Transformation Theory Linear transformations Affine transformations Projective transformations Matlab Implementation. Geometric Transformations.

901 views • 66 slides

Overview

Overview. Goal: scalable algorithms to find patterns and anomalies on graphs Mining Large Graphs: Algorithms, Inference, and Discoveries Spectral Analysis of Billion-Scale Graphs : Discoveries and Implementation Patterns on the Connected Components of Terabyte-Scale Graphs

744 views • 63 slides

Overview

Overview. Goal: scalable algorithms to find patterns and anomalies on graphs Mining Large Graphs: Algorithms, Inference, and Discoveries Spectral Analysis of Billion-Scale Graphs : Discoveries and Implementation Patterns on the Connected Components of Terabyte-Scale Graphs

745 views • 63 slides

Handling Outliers and Missing Data in Statistical Data Models

Handling Outliers and Missing Data in Statistical Data Models. Kaushik Mitra Date: 17/1/2011 ECSU Seminar, ISI. Statistical Data Models. Goal: Find structure in data Applications Finance Engineering Sciences Biological Wherever we deal with data Some examples Regression

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Normalized Cuts and Image Segmentation

Normalized Cuts and Image Segmentation. Presenter ? Kuang-Jui Hsu Date ? 2011/5/3(Tues.). Outline. Motivation Computing the Optimal Partition The Grouping Algorithm Experiments. Motivation. Generally, image segmentation means that we can cut an object from an image.

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CS448f: Image Processing For Photography and Vision

CS448f: Image Processing For Photography and Vision. Lecture 1. Today:. Introductions Course Format Course Flavor Low-level basic image processing High-level algorithms from Siggraph. Introductions and Course Format. http://cs448f.stanford.edu/. Some Background Qs.

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Numerical Linear Algebra An Introduction

Numerical Linear Algebra An Introduction. Levels of multiplication . vector-vector a[i]*b[i] matrix-vector A[i,j]*b[j] matrix-matrix A[I,k]*B[k,j]. Matrix-Matrix. for (i=0; i<n; i++) for (j=0; j<n; j++) { C[i,j]=0.0; for (k=0; k<n; k++)

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Ballard Blair bjblair@mit PhD Candidate MIT/WHOI Joint Program Advisor : J im Presisig

Comparison and Analysis of Equalization Techniques for the Time-Varying Underwater Acoustic Channel. Ballard Blair bjblair@mit.edu PhD Candidate MIT/WHOI Joint Program Advisor : J im Presisig. Outline. Introduction: Underwater Communication Decision Feedback Equalization

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Intro to Matlab

Intro to Matlab. Rogelio Long September 3, 2013. How to access MyDesktop. https://mydesktop.utep.edu/vpn/index.html Log in with your utep id and password Proceed/Install Citrix(wait for the DL)/Continue. Why use Matlab ?. Pros Easy to learn

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Using Numerical Libraries on Blue Horizon - ESSL & PESSL ( npaci/BlueHorizon )

Using Numerical Libraries on Blue Horizon - ESSL & PESSL ( http://www.npaci.edu/BlueHorizon ). Tim Kaiser and Donald Frederick frederik@sdsc.edu San Diego Supercomputing Center. Using Numerical Libraries: Overview. Why use ESSL/PESSL ? How to use ESSL/PESSL Setup Linking libraries.

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Visualization at the Netherlands eScience Center

128 views • 7 slides