Intelligent Computing Theories and Application

13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I
1. Auflage 2017
ISBN: 978-3-319-63308-4
Verlag: Springer International Publishing

Buch, Englisch, Band 10361, 815 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 12453 g

Reihe: Lecture Notes in Computer Science

This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.  
The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal Processing; Pattern Recognition; Biometrics Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Genetic Algorithms; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Swarm Intelligence and Optimization; Independent Component Analysis; Compressed Sensing and Sparse Coding; Natural Computing; Intelligent Computing in Computer Vision; Computational Intelligence and Security for Image Applications in Social Network; Neural Networks: Theory and Application.

Zielgruppe

Research

Autoren/Hrsg.

Huang, De-Shuang

Gupta, Phalguni

Bevilacqua, Vitoantonio

Premaratne, Prashan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Evolutionary Computation and Learning.- Neural Networks.- Nature Inspired Computing and Optimization.- Signal Processing.- Pattern Recognition.- Biometrics Recognition.- Image Processing; Information Security.- Virtual Reality and Human-Computer Interaction.- Business Intelligence and Multimedia Technology.- Genetic Algorithms.- Biomedical Informatics Theory and Methods.- Particle Swarm Optimization and Niche Technology.- Swarm Intelligence and Optimization.- Independent Component Analysis.- Compressed Sensing and Sparse Coding.- Natural Computing.- Intelligent Computing in Computer Vision.- Computational Intelligence and Security for Image Applications in Social Network.- Neural Networks: Theory and Application.