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
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.815461&sl=0
| Department/Agency | Defence R&D Canada. |
|---|---|
| Title | 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.]. |
| Series title | Contract report ; 2013–121 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | April 2013. Includes bibliographical references. Text in English, abstract in English and French. |
| Publishing information | [Ottawa] : Defence Research and Development Canada, 2013. |
| Description | viii, 16 p. : figs., tables. |
| Catalogue number |
|
Request alternate formats
To request an alternate format of a publication, complete the Government of Canada Publications email form. Use the form’s “question or comment” field to specify the requested publication.- Date modified: