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Pattern recognition applications and...

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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pattern recognition applications and methods/ edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.
Reminder of title:	9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
remainder title:	ICPRAM 2020
other author:	De Marsico, Maria.
corporate name:	ICPRAM (Conference)
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Pattern perception - Congresses. -
Online resource:	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 methods9th 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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490 1 $a Image processing, computer vision, pattern recognition, and graphics
505 0 $a 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.
520 $a 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.
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