Pattern Recognition Applications and Methods de Maria De Marsico

Pattern Recognition Applications and Methods: 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22–24, 2020, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12594

Maria De Marsico

Gabriella Sanniti di Baja

Ana Fred

en Limba Engleză Paperback – 23 dec 2020

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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Springer International Publishing – 23 dec 2020	312^.92 lei 6-8 săpt.
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Springer International Publishing – 27 ian 2023	342^.20 lei 6-8 săpt.

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Express

Paperback (1)

318^.00 lei 6-8 săpt.

Springer International Publishing – 3 feb 2017

318^.00 lei 6-8 săpt.

Paperback (1)

317^.68 lei 6-8 săpt.

Springer International Publishing – 16 iun 2018

317^.68 lei 6-8 săpt.

Paperback (1)

316^.11 lei 6-8 săpt.

Springer International Publishing – 5 ian 2019

316^.11 lei 6-8 săpt.

Paperback (1)

314^.04 lei 6-8 săpt.

Springer International Publishing – 25 ian 2020

314^.04 lei 6-8 săpt.

Paperback (1)

312^.92 lei 6-8 săpt.

Springer International Publishing – 23 dec 2020

312^.92 lei 6-8 săpt.

Paperback (1)

342^.20 lei 6-8 săpt.

Springer International Publishing – 27 ian 2023

342^.20 lei 6-8 săpt.

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Cuprins

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.