Comparison of learned versus engineered features for classification of mine like objects from raw sonar images

Paul Hollesen; Warren A. Connors; Thomas Trappenberg

doi:10.1007/978-3-642-21043-3_21

Comparison of learned versus engineered features for classification of mine like objects from raw sonar images

Paul Hollesen, Warren A. Connors, Thomas Trappenberg

Earth and Planetary Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Original language	English
Title of host publication	Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings
Publisher	Springer Verlag
Pages	174-185
Number of pages	12
ISBN (Print)	9783642210426
DOIs	https://doi.org/10.1007/978-3-642-21043-3_21
Publication status	Published - 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6657 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-21043-3_21

Cite this

Hollesen, P., Connors, W. A., & Trappenberg, T. (2011). Comparison of learned versus engineered features for classification of mine like objects from raw sonar images. In Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings (pp. 174-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6657 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-21043-3_21

Comparison of learned versus engineered features for classification of mine like objects from raw sonar images. / Hollesen, Paul; Connors, Warren A.; Trappenberg, Thomas.
Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings. Springer Verlag, 2011. p. 174-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6657 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hollesen, P, Connors, WA & Trappenberg, T 2011, Comparison of learned versus engineered features for classification of mine like objects from raw sonar images. in Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6657 LNAI, Springer Verlag, pp. 174-185. https://doi.org/10.1007/978-3-642-21043-3_21

Hollesen P, Connors WA, Trappenberg T. Comparison of learned versus engineered features for classification of mine like objects from raw sonar images. In Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings. Springer Verlag. 2011. p. 174-185. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-21043-3_21

Hollesen, Paul ; Connors, Warren A. ; Trappenberg, Thomas. / Comparison of learned versus engineered features for classification of mine like objects from raw sonar images. Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, Proceedings. Springer Verlag, 2011. pp. 174-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Comparison of learned versus engineered features for classification of mine like objects from raw sonar images

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