Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Bayesian labelling of image corner features using a grey-level corner model with a bootstrapped modular neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kumar, R. ; Sheffield Univ., UK ; Wan-Ching Chen ; Rockett, P.

In this paper we report the results of Bayesian labelling corner features in images with a modular neural network trained on data from a grey-level model of corners. Since adequate learning the whole mapping by a single network is problematic we present a bootstrapping procedure to partition data across modules. Results on real images are presented together with comparisons with the same labelling task performed by a monolithic network

Published in:

Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)

Date of Conference:

7-9 Jul 1997