Theoretical and complexity issues for feature set evaluation using boundary methods

William E. Pierson Jr.; Batuhan Ulug; Stanley C. Ahalt; Jose Luis Sancho; Anibal R. Figueiras-Vidal

doi:10.1117/12.321865

15 September 1998 Theoretical and complexity issues for feature set evaluation using boundary methods

William E. Pierson Jr., Batuhan Ulug, Stanley C. Ahalt, Jose Luis Sancho, Anibal R. Figueiras-Vidal

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321865
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Boundary Methods (BMs) are a collection of tools used for distribution analysis. This paper explores the theoretical and complexity issues associated with using BMs for Feature Set Evaluation (FSE). First we show the theoretical relationship between Overlap Sum, the BM measure of class separability, and Bayes error. This relationship demonstrates the utility of using BMs for FSE. Next, we investigate complexity issues associated with using BMs for FSE and compare with other techniques used for FSE.

Citation Download Citation

William E. Pierson Jr., Batuhan Ulug, Stanley C. Ahalt, Jose Luis Sancho, and Anibal R. Figueiras-Vidal "Theoretical and complexity issues for feature set evaluation using boundary methods", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321865

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available