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| 02683nam 2200421zi 4500 |
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| 001 | 9.892986 |
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| 003 | CaOODSP |
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| 005 | 20221107173323 |
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| 006 | m o d f |
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| 007 | cr bn||||||||| |
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| 008 | 201029e199605##oncad ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 041 | |aeng|bfre |
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| 086 | 1 |aCo24-3/7-96-005E-PDF |
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| 100 | 1 |aHatsivasiliou, Fivos, |eauthor. |
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| 245 | 12|aA novel approach to the application of higher order neural networks to image classification / |cby Fivos Hatsivasiliou and Kenneth L. Sala, Communications Systems Research Antennas and Integrated Electronics. |
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| 264 | 1|aOttawa : |bCommunication Research Centre, Industry Canada, |cMay 1996. |
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| 300 | |a1 online resource (1 volume (various pagings)) : |billustrations, graphs. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aCRC report ; |vno. 96-005 |
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| 500 | |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada]. |
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| 500 | |a"The work described in this document was sponsored by the Department of National Defence under Task 1410-233." |
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| 504 | |aIncludes bibliographical references (pages REF1-REF-5). |
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| 520 | 3 |a"The applicability of higher order neural networks to the classification of low resolution imagery is investigated. A novel boundary detection and encoding methodology is developed in order to significantly reduce the large number of third order interconnection weights which must be found during the training stage of the neural network. The higher order neural classifier can be trained by presenting only one sample image per class and so enables rapid network learning with a minimal requirement for training data. An extensive, MatLab compatible toolbox developed specifically to implement this approach is described and documented along with the algorithms employed in the image boundary detection and encoding process"--Abstract, page iii. |
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| 546 | |aIncludes abstract in French. |
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| 650 | 0|aNeural networks (Computer science) |
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| 650 | 0|aImage processing. |
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| 650 | 0|aSynthetic aperture radar|xImage quality. |
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| 650 | 6|aRéseaux neuronaux (Informatique) |
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| 650 | 6|aTraitement d'images. |
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| 650 | 6|aRadar à synthèse d'ouverture|xQualité de l'image. |
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| 710 | 1 |aCanada. |bIndustry Canada, |eissuing body. |
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| 710 | 2 |aCommunications Research Centre (Canada), |eissuing body. |
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| 830 | #0|aCRC report ;|vno. 96-005.|w(CaOODSP)9.882492 |
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| 856 | 40|qPDF|s2.27 MB|uhttps://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-7-96-005-eng.pdf |
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