1.

Record Nr.

UNINA9910484763203321

Titolo

Structural, Syntactic, and Statistical Pattern Recognition : 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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-73973-2

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (xii, 378 pages) : illustrations

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 12644

Disciplina

006.4

Soggetti

Artificial intelligence

Algorithms

Artificial intelligence - Data processing

Social sciences - Data processing

Computers

Computer science - Mathematics

Artificial Intelligence

Data Science

Computer Application in Social and Behavioral Sciences

Computing Milieux

Mathematics of Computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.

Sommario/riassunto

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.