Publication Date
12-1998
Abstract
Feature extraction from images to perform object classification is a very hard problem for general solution. We prove that under interval uncertainty, linear classification is NP-hard.
12-1998
Feature extraction from images to perform object classification is a very hard problem for general solution. We prove that under interval uncertainty, linear classification is NP-hard.
Comments
Technical Report: UTEP-CS-98-34
Published in: Proceedings of the Second International Workshop on Intelligent Virtual Environments, Xalapa, Veracruz, Mexico, September 11-12, 1998, pp. 12-15.