Pattern Recognition 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVIII

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1-5, 2024.
The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics

Summary

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024.
The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics

Product details

• Assisted by: Subhasis Chaudhuri (Editor), Rama Chellappa et al (Editor), Apostolos Antonacopoulos (Editor), Rama Chellappa (Editor), Cheng-Lin Liu (Editor), Saumik Bhattacharya (Editor), Umapada Pal (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 28.12.2024
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software
• EAN: 9783031781032
• ISBN: 978-3-0-3178103-2
• Pages: 464
• Illustrations: XXXVIII, 464 p. 167 illus., 152 illus. in color.
• Dimensions (packing): 15.5 x 2.7 x 23.5 cm
• Weight (packing): 756 g
• Series: Lecture Notes in Computer Science
• Subjects: machine learning, Maschinelles Lernen, Artificial Intelligence, Computer Vision, pattern recognition, Image processing, speech processing, Machine Vision, robot vision