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Pattern Recognition and Computer Vision -

Pattern Recognition and Computer Vision

First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I
Buch | Softcover
XVII, 589 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-030-03397-2 (ISBN)
CHF 74,85 inkl. MwSt

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:
Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

Biometrics.- Computer Vision Application.- Deep Learning.- Document Analysis.- Face Recognition and Analysis.- Feature Extraction and Selection.- Machine Learning.- Object Detection and Tracking.- Performance Evaluation and Database.- Remote Sensing.

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XVII, 589 p. 341 illus., 212 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 920 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Character Recognition • classification • Computer Science • computer vision • conference proceedings • Data Security • estimation • face recognition • Feature Selection • image coding • image enhancement • Image Processing • Image Quality • image reconstruction • Imaging Systems • Informatics • Information Retrieval • Motion Estimation • Neural networks • Remote Sensing • Research • Semantics • Support Vector Machines (SVM)
ISBN-10 3-030-03397-X / 303003397X
ISBN-13 978-3-030-03397-2 / 9783030033972
Zustand Neuware
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