'Single feature' presentation slideshows

AERIAL IMAGERY Part I

AERIAL IMAGERY Part I. Lt Col James Babbitt, CAP A5(XP)/Plans and Programs Maryland Wing. With recognition and appreciation to Texas Wing from whose Mission Videographer Training Program this presentation was derived. AGENDA. What we will cover: Flight maneuvers Crew mechanics

720 views • 59 slides

Rhetorical Terms: Definitions & Examples

Rhetorical Terms: Definitions & Examples. Let us go forth to lead the land we love. repetition of initial consonant sound with several words. alliteration.

712 views • 56 slides

Chapter 4: Attention and Consciousness

Chapter 4: Attention and Consciousness. Some Questions of Interest. What are some of the functions of attention? What are some theories to explain attentional processes? Can we actively process information, even if we are not aware of doing so? . Main Functions of Attention.

1.74k views • 47 slides

Face Detection using the Viola-Jones Method

CS 175, Fall 2007 Padhraic Smyth Department of Computer Science University of California, Irvine. Face Detection using the Viola-Jones Method . Outline. Viola Jones face detection algorithm State-of-the-art face detector MATLAB code available for CS 175 for implementing this algorithm

1.35k views • 32 slides

Face Detection using the Viola-Jones Method

CS 175, Fall 2007 Padhraic Smyth Department of Computer Science University of California, Irvine. Face Detection using the Viola-Jones Method. Outline. Viola Jones face detection algorithm State-of-the-art face detector MATLAB code available for CS 175 for implementing this algorithm

366 views • 32 slides

Perceptual Processes: Attention & Consciousness

652 views • 30 slides

Feature Selection and Bioinformatics Applications Isabelle Guyon

Feature Selection and Bioinformatics Applications Isabelle Guyon. Part I. INTRODUCTION. Objectives. Output y. Predictor f( x ). Input x. Reduce the number of features as much as possible without significantly degrading prediction performance.

431 views • 29 slides

Viola-Jones Face Detection Algorithm

Learning to Detect Faces A Large-Scale Application of Machine Learning (This material is not in the text: for further information see the paper by P. Viola and M. Jones, International Journal of Computer Vision, 2004. Viola-Jones Face Detection Algorithm. Overview :

482 views • 26 slides

Part 10: Decision Trees

Part 10: Decision Trees. Introduction Training Complexity, Pruning CART vs. ID3 vs. C4.5. Some materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000, Chapter 8.1-8.4 . Introduction.

436 views • 25 slides

Proteomic Mass Spectrometry

Proteomic Mass Spectrometry. Outline. Previous Research Project Goals Data and Algorithms Experimental Results Conclusions To Do List. Motivation. MS spectra has high dimension Most ML algorithms are incapable of handling such high dimensional data Dimensionality Reduction (DR)

624 views • 23 slides

Hierarchical Clustering

Hierarchical Clustering. Ke Chen. COMP24111 Machine Learning. Outline. Introduction Cluster Distance Measures Agglomerative Algorithm Example and Demo Relevant Issues Conclusions. Introduction. Hierarchical Clustering Approach

600 views • 20 slides

Aims

Aims. Overview of schizophrenia Focus on the Role of the GP Understand its Holistic Management. General Information. Poorly understood Disorder of basic psychological functions Multiple psychological processes affected No single feature is diagnostic. Epidemiology .

285 views • 16 slides

The Wharton Risk Management and Decision Processes Center Over 25 years of leading research into catastrophe risk

The Wharton Risk Management and Decision Processes Center Over 25 years of leading research into catastrophe risk. Erwann Michel-Kerjan, Managing Director erwannmk@wharton.upenn.edu. University of California, Washington D.C. April 19, 2011 - http://opim.wharton.upenn.edu/risk/.

291 views • 14 slides

Terms to Know

Terms to Know. How style Affects an Argument. Asyndeton. Asyndeton- omission of conjunction between coordinate phrases, clauses, or words. Example: I Came, I Saw, I Conquered. What other literary device do you see in the example?. Antithesis.

718 views • 14 slides