Pattern Recognition - ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings (Paperback, 1st ed. 2020)


This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.

R1,580

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles15800
Mobicred@R148pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days



Product Description

This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Communications in Computer and Information Science, 1180

Release date

March 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

278

Edition

1st ed. 2020

ISBN-13

978-981-15-3650-2

Barcode

9789811536502

Categories

LSN

981-15-3650-3



Trending On Loot