Pattern Classification: A Unified View of Statistical and Neural Approaches / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
$146.70
Used and New from Other Sellers
Used and New from Other Sellers
from $73.97
Usually ships in 1-2 business days
(Save 58%)
Other sellers (Hardcover)
  • All (12) from $73.97   
  • New (6) from $94.50   
  • Used (6) from $73.95   

Overview

PATTERN CLASSIFICATION

a unified view of statistical and neural approaches

The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. Pattern Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods, polynomial regression, multilayer perceptron, and radial basis functions. Important topics such as feature selection, reject criteria, classifier performance measurement, and classifier combinations are fully covered, as well as material on techniques that, until now, would have required an extensive literature search to locate. A full program of illustrations, graphs, and examples helps make the operations and general properties of different classification approaches intuitively understandable.

Offering a lucid presentation of complex applications and their algorithms, Pattern Classification is an invaluable resource for researchers, engineers, and graduate students in this rapidly developing field.

Based on Schurmann's years of practical experience in the area of character recognition and document analysis, this book offers a unifying perspective of neural networks and statistical pattern classification from a theoretically-based engineering point of view. Using graphs and examples, it sheds light on the relation between seemingly different approaches to pattern recognition.

Read More Show Less

Editorial Reviews

Booknews
Offers a theory-based engineering perspective on neural networks and statistical pattern classification. On the way, sheds light on the relationship between apparently unrelated approaches to pattern recognition, including statistical methods, polynomial regression, multilayer perceptron, and radial basis functions. Also discusses such topics as feature selection, reject criteria, classifier performance measurement, and classifier combinations. Most of the examples and applications relate to character recognition. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read More Show Less

Product Details

  • ISBN-13: 9780471135340
  • Publisher: Wiley
  • Publication date: 3/15/1996
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 392
  • Product dimensions: 6.38 (w) x 9.55 (h) x 0.92 (d)

Meet the Author

J√úRGEN SCH√úRMANN is head of the Pattern Understanding Group at the Daimler-Benz Research Center in Ulm, Germany, and teaches at the Technical University of Darmstadt.

Read More Show Less

Table of Contents

Statistical Decision Theory.

Need for Approximations: Fundamental Approaches.

Classification Based on Statistical Models Determined by First-and-Second Order Statistical Moments.

Classification Based on Mean-Square Functional Approximations.

Polynomial Regression.

Multilayer Perceptron Regression.

Radial Basis Functions.

Measurements, Features, and Feature Section.

Reject Criteria and Classifier Performance.

Combining Classifiers.

Conclusion.

STATMOD Program: Description of ftp Package.

References.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)