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Highly Robust Statistical Methods in Medicai Image Analysis

Paper ID Volume ID Publish Year Pages File Format Full-Text
5271 359 2012 14 PDF Available
Title
Highly Robust Statistical Methods in Medicai Image Analysis
Abstract

Standard multivariate statistical methods in medicai applications are too sensitive to the assumption of multivariate normality and the presence of outliers in the data. This paper is devoted to robust statistical methods. In the context of medical image analysis they allow to solve the tasks of face detection and face recognition in a database of images. The results of the robust approaches in image analysis turn out to outperform those obtained with standard methods. Robust methods also have desirable properties appealing for practical applications, including dimension reduction and clear interpretability.

Keywords
robust statistics; classification; faces; robust image analysis; faces; forensic science
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biocybernetics and Biomedical Engineering - Volume 32, Issue 2, 2012, Pages 3–16
Authors
,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us