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Pattern recognition applications and...
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ICPRAM (Conference) (2020 :)
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Pattern recognition applications and methods = 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Pattern recognition applications and methods/ edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.
其他題名:
9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
其他題名:
ICPRAM 2020
其他作者:
De Marsico, Maria.
團體作者:
ICPRAM (Conference)
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xi, 139 p. :ill., digital ;24 cm.
內容註:
End to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.
Contained By:
Springer Nature eBook
標題:
Pattern perception - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-66125-0
ISBN:
9783030661250
Pattern recognition applications and methods = 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
Pattern recognition applications and methods
9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /[electronic resource] :ICPRAM 2020edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred. - Cham :Springer International Publishing :2020. - xi, 139 p. :ill., digital ;24 cm. - Lecture notes in computer science,125940302-9743 ;. - Lecture notes in computer science ;12594..
End to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.
This book contains revised and extended versions of selected papers from the 9th International Conference on Pattern Recognition, ICPRAM 2020, held in Valletta, Malta, in February 2020. The 7 full papers presented were carefully reviewed and selected from 102 initial submissions. The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged.
ISBN: 9783030661250
Standard No.: 10.1007/978-3-030-66125-0doiSubjects--Topical Terms:
543179
Pattern perception
--Congresses.
LC Class. No.: Q327
Dewey Class. No.: 006.4
Pattern recognition applications and methods = 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
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