Hierarchical Neural Networks for Image Interpretation
Author:   Sven Behnke
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2003 ed.
Volume:   2766
ISBN:  

9783540407225


Pages:   227
Publication Date:   21 August 2003
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $184.67 Quantity:  
Add to Cart

Share |

Hierarchical Neural Networks for Image Interpretation


Add your own review!

Overview

Full Product Details

Author:   Sven Behnke
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2003 ed.
Volume:   2766
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.760kg
ISBN:  

9783540407225


ISBN 10:   3540407227
Pages:   227
Publication Date:   21 August 2003
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I. Theory.- Neurobiological Background.- Related Work.- Neural Abstraction Pyramid Architecture.- Unsupervised Learning.- Supervised Learning.- II. Applications.- Recognition of Meter Values.- Binarization of Matrix Codes.- Learning Iterative Image Reconstruction.- Face Localization.- Summary and Conclusions.

Reviews

From the reviews: <p> This booklet is the reprint of a thesis. It addresses image interpretation using a neural network architecture mimicking the human visual system. a ] The exposition is divided in two parts, namely theory and applications. a ] In short this thesis is very interesting, well written and easy to read. (Jean Th. LaprestA(c), Zentralblatt MATH, Vol. 1041 (16), 2004)


From the reviews: This booklet is the reprint of a thesis. It addresses image interpretation using a neural network architecture mimicking the human visual system. ! The exposition is divided in two parts, namely theory and applications. ! In short this thesis is very interesting, well written and easy to read. (Jean Th. Lapreste, Zentralblatt MATH, Vol. 1041 (16), 2004)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now