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] :
edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.
- 1st ed. 2020.
- XI, 139 p. 46 illus., 41 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12594 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 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.
9783030661250
10.1007/978-3-030-66125-0 doi
Pattern recognition systems.
Artificial intelligence.
Computer vision.
Computer engineering.
Computer networks .
Automated Pattern Recognition.
Artificial Intelligence.
Computer Vision.
Computer Engineering and Networks.
Q337.5 TK7882.P3
006.4
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.
9783030661250
10.1007/978-3-030-66125-0 doi
Pattern recognition systems.
Artificial intelligence.
Computer vision.
Computer engineering.
Computer networks .
Automated Pattern Recognition.
Artificial Intelligence.
Computer Vision.
Computer Engineering and Networks.
Q337.5 TK7882.P3
006.4