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A Hybrid Relevance Measure for Feature Selection and Its Application to Underwater Objects Recognition

Fei, T. and Kraus, D. and Zoubir, A. M. (2012):
A Hybrid Relevance Measure for Feature Selection and Its Application to Underwater Objects Recognition.
, Lake Buena Vista, Orlando, FL, USA, In: Proc. 19th IEEE Int. Conf. on Image Processing 2012 (ICIP), pp. 97-100, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Fei, T. and Kraus, D. and Zoubir, A. M.
Title: A Hybrid Relevance Measure for Feature Selection and Its Application to Underwater Objects Recognition
Language: German
Volume:
Place of Publication: Lake Buena Vista, Orlando, FL, USA
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: Proc. 19th IEEE Int. Conf. on Image Processing 2012 (ICIP)
Date Deposited: 09 Oct 2014 12:08
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