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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<p>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.</p>
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.
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Produktdetaljer

ISBN
9783030661243
Publisert
2020-12-23
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet