TY - GEN N2 - This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods. . DO - 10.1007/978-3-319-97785-0 DO - doi AB - This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods. . T1 - Structural, Syntactic, and Statistical Pattern Recognition :Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings / AU - Xiao, Bai, AU - Hancock, Edwin R. AU - Ho, Tin Kam. AU - Wilson, Richard C. AU - Biggio, Battista. AU - Robles-Kelly, Antonio. VL - 11004 CN - Q327 ID - 845718 KW - Pattern perception KW - Computer science KW - Data structures (Computer science) KW - Algorithms KW - Computer science KW - Artificial intelligence KW - Image processing SN - 9783319977850 SN - 3319977857 TI - Structural, Syntactic, and Statistical Pattern Recognition :Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings / LK - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-97785-0 UR - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-97785-0 ER -