Bild 1 von 2
Galerie
Bild 1 von 2
Musterklassifizierung von Peter E. Hart, Richard O. Duda und David G. Stork...-
US $64,99
Ca.EUR 55,33
Artikelzustand:
Neu
Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte Seiten. Genauere Einzelheiten entnehmen Sie bitte dem Angebot des Verkäufers.
- Sofort-KaufenMusterklassifizierung von Peter E. Hart, Richard O. Duda und David G. Stork...
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Versand:
US $8,22 (ca. EUR 7,00) USPS Media MailTM.
Standort: Dearborn Heights, Michigan, USA
Lieferung:
Lieferung zwischen Fr, 26. Sep und Do, 2. Okt nach 94104 bei heutigem Zahlungseingang
Rücknahme:
30 Tage Rückgabe. Käufer zahlt Rückversand. Wenn Sie ein eBay-Versandetikett verwenden, werden die Kosten dafür von Ihrer Rückerstattung abgezogen.
Zahlungen:
Sicher einkaufen
- Gratis Rückversand im Inland
- Punkte für jeden Kauf und Verkauf
- Exklusive Plus-Deals
Der Verkäufer ist für dieses Angebot verantwortlich.
eBay-Artikelnr.:204828373829
Artikelmerkmale
- Artikelzustand
- ISBN
- 9780471056690
Über dieses Produkt
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471056693
ISBN-13
9780471056690
eBay Product ID (ePID)
1015208
Product Key Features
Number of Pages
688 Pages
Language
English
Publication Name
Pattern Classification
Publication Year
2000
Subject
Statistics, Electronics / Digital, Computer Vision & Pattern Recognition
Features
Revised
Type
Textbook
Subject Area
Computers, Technology & Engineering, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
43.3 Oz
Item Length
10.1 in
Item Width
7.3 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
99-029981
Dewey Edition
21
Reviews
"...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model." ( Journal of Statistical Computation and Simulation , March 2006) "...strongly recommended both as a professional reference and as a text for students..." ( Technometrics , February 2002) "...provides information needed to choose the most appropriate of the many available technique for a given class of problems." ( SciTech Book News , Vol. 25, No. 2, June 2001) "This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." ( Mathematical Reviews , Issue 2001k) "...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." ( Zentralblatt MATH , Vol. 968, 2001/18) "attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001), "...it provides a good introduction to the subject of Pattern Classification." (Journal of Classification, September 2007) "...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model." (Journal of Statistical Computation and Simulation, March 2006) "...strongly recommended both as a professional reference and as a text for students..." (Technometrics, February 2002) "...provides information needed to choose the most appropriate of the many available technique for a given class of problems." (SciTech Book News, Vol. 25, No. 2, June 2001) "I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!" (Pattern Analysis & Applications Journal, 2001) "This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001k) "...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." (Zentralblatt MATH, Vol. 968, 2001/18) "attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001)
Number of Volumes
2 vols.
Volume Number
Pt. 1
Illustrated
Yes
Dewey Decimal
006.4
Edition Description
Revised edition
Table Of Content
Bayesian Decision Theory. Maximum-Likelihood and Bayesian Parameter Estimation. Nonparametric Techniques. Linear Discriminant Functions. Multilayer Neural Networks. Stochastic Methods. Nonmetric Methods. Algorithm-Independent Machine Learning. Unsupervised Learning and Clustering. Appendix. Index.
Synopsis
Unter Musterklassifikation versteht man die Zuordnung eines physikalischen Objektes zu einer von mehreren vordefinierten Kategorien. Auf dieser Grundlage können Computer Muster erkennen. Das Interesse an diesem Forschungsgebiet hat in den letzten Jahren, besonders im Zuge der Weiterentwicklung neuronaler Netze, stark zugenommen. Die umfassend überarbeitete, erweiterte und jetzt zweifarbig gestaltete Neuauflage beschreibt alle wesentlichen Aspekte der Mustererkennung systematisch und verständlich. Mit Lösungsheft! (01/00), The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics., From the reviews . . . "The first edition of this book, published 30 years ago by Duda and Hart, has been a defining book for the field of Pattern Recognition. Stork has done a superb job of updating the book. He has undertaken a monumental task of sifting through 30 years of material in a rapidly growing field and presented another snapshot of the field, determining what will be of importance for the next 30 years and incorporating it into this second edition. The style is easy to read as in the original book and the statistical, mathematical material comes alive with many new illustrations. The end result is harmonious, leading the reader through many new topics..." Sargur N. Srihari, PhD, Director, Center for Excellence in Document Analysis and Recognition, Distinguished Professor, Department of Computer Science and Engineering, SUNY at Buffalo Practitioners developing or investigating pattern recognition systems in such diverse application areas as speech recognition, optical character recognition, image processing, or signal analysis, often face the difficult task of having to decide among a bewildering array of available techniques. This unique text/professional reference provides the information you need to choose the most appropriate method for a given class of problems, presenting an in-depth, systematic account of the major topics in pattern recognition today. A new edition of a classic work that helped define the field for over a quarter century, this practical book updates and expands the original work, focusing on pattern classification and the immense progress it has experienced in recent years. Special features include: Clear explanations of both classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning Over 350 high-quality, two-color illustrations highlighting various concepts Numerous worked examples Pseudocode for pattern recognition algorithms Expanded problems, keyed specifically to the text Complete exercises, linked to the text Algorithms to explain specific pattern-recognition and learning techniques Historical remarks and important references at the end of chapters Appendices covering the necessary mathematical background NOTE: Computer Manual in MATLAB to Accompany Pattern Classification, 2e users access toolbox via ftp://ftp.wiley.com/public/sci-tech-med/pattern-classification/ (Note: Visitors will require a password from the Manual to access.), Pattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications in artifical intelligence, machine learing, data mining, speech recognition, bioinformatics, and computer vision.
LC Classification Number
Q327.D83 2000
Artikelbeschreibung des Verkäufers
Info zu diesem Verkäufer
ab123klmn
100% positive Bewertungen•60 Artikel verkauft
Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe. Mehr erfahrenMehr erfahren
Verkäuferbewertungen (12)
- o***c (181)- Bewertung vom Käufer.Letztes JahrBestätigter KaufEverything was new as described, the package arrived a little bit late but is not seller fault I communicate with him and at least responded pretty quickSeagate STGX5000400 5 TB, External Hard Drive —BRAND NEW/OPEN BOX (Nr. 204814651870)
- eBay automated feedback- Bewertung vom Käufer.Letzter MonatOrder completed successfully—tracked and on time
- i***i (43)- Bewertung vom Käufer.Vor über einem JahrBestätigter KaufEverything as promised!Lenovo ThinkPad Pro Stylus Pen, Black - 4X80H34887 - BRAND NEW/UNOPENED (Nr. 204783635317)
Produktbewertungen & Rezensionen
Noch mehr entdecken:
- Peter David Belletristik-Bücher,
- Peter-David-Sachbuch Bücher,
- Deutsche Bücher Peter David Belletristik,
- Peter David Belletristik-Bücher im Taschenbuch-Format,
- Richard Scarry Belletristik-Bücher,
- David Baldacci Belletristik-Bücher,
- Richard-Scarry-Bilder-Belletristik - Bücher,
- Peter Straub Belletristik-Bücher,
- Richard Scarry mit Kinder- & Jugendliteratur-Bücher auf Deutsch,
- Bücher über Thriller David Baldacci Belletristik