'Principle component analysis' diaporamas de présentation

SAARF Segmentation Tools

845 views • 61 slides

Vehicle Recognition in Cluttered Environments

Vehicle Recognition in Cluttered Environments. Masters Thesis Defense By Gerald Dalley Signal Analysis and Machine Perception Laboratory The Ohio State University 05 June 2002. Overview. Problem Statement and Motivation Recognition Steps Range Image Generation

620 views • 52 slides

Dimension Reduction - PCA

Dimension Reduction - PCA . P rinciple C omponent A nalysis. The Goals. Reduce the number of dimensions of a data set. Capture the maximum information present in the initial data set. Minimize the error between the original data set and the reduced dimensional data set.

743 views • 49 slides

620 views • 46 slides

2D/3D Shape Manipulation, 3D Printing

2D/3D Shape Manipulation, 3D Printing. Normal Estimation in Point Clouds. Slides from Olga Sorkine. Implicit Surface Reconstruction. Implicit function from point clouds Need consistently oriented normals. 0. < 0. > 0. Normal Estimation.

706 views • 37 slides

2806 Neural Computation Principal Component Analysis Lecture 8

2806 Neural Computation Principal Component Analysis Lecture 8. 2005 Ari Visa. Agenda. Some historical notes Some theory Principal component analysis C onclusions . Some Historical Notes .

605 views • 34 slides

SNPedia

SNPedia. The SNPedia website http://www.snpedia.com/index.php/SNPedia A thank you from SNPedia http://snpedia.blogspot.com/2012/12/o-come-all-ye-faithful.html Class website for SNPedia http:// stanford.edu/class/gene210/web/html/projects.html List of last years write-ups

527 views • 33 slides

Principal Component Analysis & Multidimensional scaling

Principal Component Analysis & Multidimensional scaling. Problem: Too much data!. Pat1 Pat2 Pat3 Pat4 Pat5 Pat6 Pat7 Pat8 Pat9 209619_at 7758 4705 5342 7443 8747 4933 7950 5031 5293 7546 32541_at 280 387 392 238 385 329 337 163 225 288

913 views • 31 slides

Modeling North Pacific Decadal Variations and Their Teleconnection Patterns

Modeling North Pacific Decadal Variations and Their Teleconnection Patterns. Speaker/ Pei-Ning Kirsten Feng Advisor/ Yu-Heng Tseng. Outline . Overview Motivation Objective Data and Model Ongoing / Future work Summary . North Pacific Decadal Variations.

533 views • 31 slides

425 views • 31 slides

Defining Outcomes and Creating Valid Measurement Tools in Athletic Training Education

Leamor Kahanov EdD , ATC & Lindsey E. Eberman PhD, ATC. Defining Outcomes and Creating Valid Measurement Tools in Athletic Training Education. Outcome Measures. Presentation will focus on educational outcome measures

372 views • 29 slides

Chapter 21 Machine Vision

Chapter 21 Machine Vision. Chapter 21 Contents (1). Human Vision Image Processing Edge Detection Convolution and the Canny Edge Detector Segmentation Classifying Edges. Chapter 21 Contents (2). Using Texture Structural Texture Analysis Determining Shape and Orientation from Texture

465 views • 26 slides

426 views • 26 slides

Fingerprint Classification by SOM

Fingerprint Classification by SOM. Wuzhili Vincent 99050056. Fingerprint Classification by SOM. Introduction Detailed Algorithms Result Analysis Demo. Fingerprint Classification by SOM. Introduction Why goes to this topic: 1. Explore the Industrial Usage of SOM

542 views • 19 slides

Facial Type, Expression, and Viseme Generation

Facial Type, Expression, and Viseme Generation . Josh McCoy, James Skorupski, and Jerry Yee. Introduction. Virtual Human Faces Hard to generate Easy to criticize Motivation Movies Games Problems Hand-made models take time Physically-based models look weird. Contribution.

407 views • 17 slides

Auto Scaling

Auto Scaling. 2012/04/30. Introduction. Auto-scaling is a technique that dynamically adjust the resource utilization for an application based on actual workload demand. Resource utilization: the amount of resource that can be used (by an application) in an fixed time interval.

720 views • 16 slides

Progress Report

Progress Report . 04/25/2012. Scaling Algorithms. Workload-based Compare the number of VM needed to the number of running VM. Can scale multiple VMs once. Majority Vote Scale if most of the VMs are over/under-load. Scale only one VM at a time. Not sure how many to scale.

262 views • 15 slides

Quantitative Trading Strategies

Quantitative Trading Strategies. Statistical Arbitrage in the U.S. Equities Market. ETF approach: Using industries. A diverse set of ETFs can be used to explain the returns of a stock Multiple regression model will be of the form:. The PCA approach.

449 views • 13 slides

The Effects of Party System on voter attitudes and behavior

The Effects of Party System on voter attitudes and behavior . Research Question. Previous Research/theory. Data set- World Values Survey 1995. Party Systems. Variables. Tests of Univariate Normality. Principle Component Analysis. Results. Post- Analysis.

217 views • 12 slides

Dimensionality Reduction on Hyperspectral Data for Solids Analysis

Dimensionality Reduction on Hyperspectral Data for Solids Analysis. Annalisse Booth Utah State University Electrical and Computer Engineering Department Research Experience for Undergraduates 2009. Hyperspectral Imaging: An Overview. Records information across electromagnetic spectrum

183 views • 8 slides