TRAINING WITH POSITIVE AND NEGATNE DATA SAMPLES: EFFECTS ON A CLASSIFIER FOR HAND-DRAWN GEOMETRIC SHAPESPOMPES PAR TRANSITIONS MULTIPLES

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" TRAINING WITH POSITIVE AND NEGATNE DATA SAMPLES: EFFECTS ON A CLASSIFIER FOR HAND-DRAWN GEOMETRIC SHAPESPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	152546
Doc. No	:	ET24338
Main Entry	:	hanna barakat
Title Proper	:	TRAINING WITH POSITIVE AND NEGATNE DATA SAMPLES: EFFECTS ON A CLASSIFIER FOR HAND-DRAWN GEOMETRIC SHAPESPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis examines the use of positive and negative training data. on a nearest-neighbour classifier for hand-drawn geometric shapes. to improve reliability. A reliableclassifier must feature the ability to reject miss-segmented and.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL48544.pdf
Title and statement of responsibility and	:	TRAINING WITH POSITIVE AND NEGATNE DATA SAMPLES: EFFECTS ON A CLASSIFIER FOR HAND-DRAWN GEOMETRIC SHAPESPOMPES PAR TRANSITIONS MULTIPLES [Thesis]