Pattern Recognition - 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019.
The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.

List of contents

Pattern Recognition and Machine Learning.- Multi-Media and Signal Processing and Interaction.

Product details

• Assisted by: Shivakumara Palaiahnakote (Editor), Gabriell Sanniti di Baja (Editor), Gabriella Sanniti di Baja (Editor), Liang Wang (Editor), Liang Wang et al (Editor), Wei Qi Yan (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.05.2020
• EAN: 9783030412982
• ISBN: 978-3-0-3041298-2
• No. of pages: 767
• Dimensions: 157 mm x 43 mm x 238 mm
• Weight: 1183 g
• Illustrations: XXV, 767 p. 352 illus., 292 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Maschinelles Lernen, Mustererkennung, Informationstechnik (IT), allgemeine Themen, Informationsrückgewinnung, Information Retrieval, Maschinelles Sehen, Bildverstehen, patternrecognition; Computervision; DeepLearning; objectdetection; anomalydetection; Segmentation; Biometrics; computationalphotography; learningtheory; Optimization; Multimedia; signalprocessing; facerecognition; databases; ComputerNetworks