'Mahalanobis distance' presentation slideshows

Introduction to Computer Vision Lecture 10

Introduction to Computer Vision Lecture 10. Roger S. Gaborski. 1. RECALL: Euclidean distance. D ( z,m ) ? T is a solid sphere of radius T . Points within, or on the surface are defined as being part of the segmented region. Roger S. Gaborski. 2. Covariance.

872 views • 76 slides

Statistical Approaches to Mining Multivariate Data Streams

Statistical Approaches to Mining Multivariate Data Streams. Eric Vance, Duke University Department of Statistical Science David Banks, Duke University Tamraparni Dasu, AT&T Labs - Research. JSM July 31, 2007 Salt Lake City, Utah. Data Streams. Huge amounts of complex data

708 views • 56 slides

Automatic Disease Detection In Citrus Trees Using Machine Vision

709 views • 50 slides

Multivariate Detection of Aberrant Billing: An Evaluation

Multivariate Detection of Aberrant Billing: An Evaluation. Maharaj Singh, Ted Wallace & Martin Schrager National Government Services, Inc. Outline of the study. Outlier defined Multivariate method for detecting Outlier Detecting outlier billing providers An evaluation of the methodology

574 views • 42 slides

Topic 5. Human Faces

452 views • 37 slides

Computer Graphics and Image Processing (CIS-601)

Computer Graphics and Image Processing (CIS-601). Image Segmentation by Clustering (Using Mahalanobis Distance). - Manjit Chintapalli. What is Image Segmentation ?. To humans, an image is not just a random collection of pixels; it is a meaningful arrangement of regions and objects.

377 views • 37 slides

Open Path Detection of Hazardous Gases

Open Path Detection of Hazardous Gases. Technology Overview. Open path, non-contact chemical detection Multiple chemicals detected and identified by a single detector Rapid detection and identification (<1 sec) Sensitive, specific, reliable and robust

432 views • 28 slides

Robust Speech Feature

Robust Speech Feature . Decorrelated and Liftered Filter-Bank Energies (DLFBE) Proposed by K.K. Paliwal , in EuroSpeech 99. DLFBE ---Preliminary. * MFCC is very successful in speech recognition * MFCC computed from the speech signal using

461 views • 27 slides

Open Path Detection of Hazardous Gases

Open Path Detection of Hazardous Gases. Technology Overview. Open path, non-contact chemical detection Multiple chemicals detected and identified by a single detector Rapid detection and identification (<1 sec) Sensitive, specific, reliable and robust

577 views • 27 slides

Flow Based Action Recognition

428 views • 26 slides

Flow Based Action Recognition

267 views • 26 slides

The use of the Chi-square test when observations are dependent by Austina S S Clark University of Otago, New Zealand

The use of the Chi-square test when observations are dependent by Austina S S Clark University of Otago, New Zealand. Outline of the talk. Motivation Introduction Methodology Example Simulation. Introduction

380 views • 23 slides

Presenter : Min-Cong Wu Authors : Chantal Hajjar , Hani Hamdan 2013.NN

Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances. Presenter : Min-Cong Wu Authors : Chantal Hajjar , Hani Hamdan 2013.NN. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

339 views • 20 slides

Genotype Calling

300 views • 20 slides

CHAPTER 15

273 views • 20 slides

CJT 765: Structural Equation Modeling

CJT 765: Structural Equation Modeling. Class 3: Data Screening: Fixing Distributional Problems, Missing Data, Measurement. Outline of Class. Finishing up Multiple regression Data Screening Fixing Distributional Problems Statistical Inference and Power of NHSTs.

321 views • 19 slides

Anagram: A Content Anomaly Detector Resistant to Mimicry Attack

Anagram: A Content Anomaly Detector Resistant to Mimicry Attack. Ke Wang; Janak J. Parekh; Salvatore J. Stolfo; Proc. Recent Advances in Intrusion Detection, 2006. Reporter: Luo Sheng-Yuan 2009/08/06. Outline. Introduction Related Work Proposed Scheme Experiments Result Conclusion.

319 views • 16 slides

Mahanalobis Distance

Mahanalobis Distance. Dr. A.K.M. Saiful Islam. Source: http://www.jennessent.com/arcview/mahalanobis_description.htm. Mahanalobis Distance.

169 views • 16 slides

Making sense of methane fluxes with MATLAB

249 views • 10 slides

Cluster Analysis

Objectives ADDRESS HETEROGENEITY Combine observations into groups or clusters such that groups formed are homogeneous (similar) within the group and heterogeneous (different) from other groups on some variables (?).

400 views • 10 slides