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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications -

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings
Buch | Softcover
XX, 793 Seiten
2019
Springer International Publishing (Verlag)
9783030339036 (ISBN)
CHF 74,85 inkl. MwSt

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019.

The 70 papers presented were carefully reviewed and selected from 128 submissions. 
The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Keynote Lecture.- Data Mining: Natural Language Processing and Text Mining.- Image Analysis and Retrieval.- Machine Learning and Neural Networks.-  Mathematical Theory of Pattern Recognition.- Pattern Recognition and Applications.- Signals Analysis and Processing.- Speech Recognition.- Video Analysis.

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XX, 793 p. 352 illus., 213 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1229 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • biometrics • classification • Computational Linguistics • Computer Science • computer vision • conference proceedings • Data Mining • descriptors • estimation • face recognition • facial images • image coding • Image Processing • Image Segmentation • Informatics • Learning Algorithms • machine learning • Neural networks • pattern recognition • Research • Semantics • Signal Processing • Support Vector Machines (SVM)
ISBN-13 9783030339036 / 9783030339036
Zustand Neuware
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