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Structural, Syntactic, and Statistical Pattern Recognition [electronic resource] : Joint IAPR International Workshops, S+SSPR 2022, Montreal, QC, Canada, August 26-27, 2022, Proceedings / edited by Adam Krzyzak, Ching Y. Suen, Andrea Torsello, Nicola Nobile.

Contributor(s): Krzyzak, Adam [editor.] | Suen, Ching Y [editor.] | Torsello, Andrea [editor.] | Nobile, Nicola [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 13813Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XIII, 324 p. 118 illus., 93 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031230288.Subject(s): Artificial intelligence | Computer science -- Mathematics | Discrete mathematics | Algorithms | Computer graphics | Computer vision | Pattern recognition systems | Artificial Intelligence | Discrete Mathematics in Computer Science | Design and Analysis of Algorithms | Computer Graphics | Computer Vision | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022. The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.
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This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022. The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.

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