Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings / [electronic resource] :
edited by Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly.
- 1st ed. 2021.
- XII, 378 p. 103 illus., 84 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12644 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12644 .
Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
9783030739737
10.1007/978-3-030-73973-7 doi
Artificial intelligence.
Algorithms.
Artificial intelligence--Data processing.
Social sciences--Data processing.
Computers.
Computer science--Mathematics.
Artificial Intelligence.
Algorithms.
Data Science.
Computer Application in Social and Behavioral Sciences.
Computing Milieux.
Mathematics of Computing.
Q334-342 TA347.A78
006.3
Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
9783030739737
10.1007/978-3-030-73973-7 doi
Artificial intelligence.
Algorithms.
Artificial intelligence--Data processing.
Social sciences--Data processing.
Computers.
Computer science--Mathematics.
Artificial Intelligence.
Algorithms.
Data Science.
Computer Application in Social and Behavioral Sciences.
Computing Milieux.
Mathematics of Computing.
Q334-342 TA347.A78
006.3