Machine learning algorithms for multiple autonomous unmanned vehicle operations : using support vector machine with adaptively asymmetric misclassification costs for mine-like objects detection / [by]... : D68-3/121-2013E-PDF
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.815461&sl=1
Ministère/Organisme | Canada. Defence R&D Canada. |
---|---|
Titre | Machine learning algorithms for multiple autonomous unmanned vehicle operations : using support vector machine with adaptively asymmetric misclassification costs for mine-like objects detection / [by] Xiaoguang Wang ... [et al.]. |
Titre de la série | Contract report ; 2013–121 |
Type de publication | Série - Voir l'enregistrement principal |
Langue | [Anglais] |
Format | Électronique |
Document électronique | |
Note(s) | April 2013. Includes bibliographical references. Text in English, abstract in English and French. |
Information sur la publication | [Ottawa] : Defence Research and Development Canada, 2013. |
Description | viii, 16 p. : figs., tables. |
Numéro de catalogue |
|