Structural, Syntactic, and Statistical Pattern Recognition [electronic resource] : Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings / edited by Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly.
Contributor(s): Torsello, Andrea [editor.]
| Rossi, Luca [editor.] | Pelillo, Marcello [editor.] | Biggio, Battista [editor.] | Robles-Kelly, Antonio [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 12644Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XII, 378 p. 103 illus., 84 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030739737.Subject(s): 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 ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online 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.
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