Computational Information Geometry - For Image and Signal Processing (Hardcover, 1st ed. 2017)


This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

R5,323

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

Discovery Miles53230
Mobicred@R499pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days



Product Description

This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

Customer Reviews

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

Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Signals and Communication Technology

Release date

December 2016

Availability

Expected to ship within 12 - 17 working days

First published

2017

Editors

, ,

Dimensions

235 x 155 x 25mm (L x W x T)

Format

Hardcover

Pages

299

Edition

1st ed. 2017

ISBN-13

978-3-319-47056-6

Barcode

9783319470566

Categories

LSN

3-319-47056-6



Trending On Loot