Facebook Twitter Pinterest <Einbetten>
EUR 60,99
  • Alle Preisangaben inkl. USt
Nur noch 16 auf Lager (mehr ist unterwegs).
Verkauf und Versand durch Amazon. Geschenkverpackung verfügbar.
Pattern Recognition ist in Ihrem Einkaufwagen hinzugefügt worden

Lieferort:
Um Adressen zu sehen, bitte
Oder
Bitte tragen Sie eine deutsche PLZ ein.
Oder
Möchten Sie verkaufen?
Zur Rückseite klappen Zur Vorderseite klappen
Hörprobe Wird gespielt... Angehalten   Sie hören eine Hörprobe des Audible Hörbuch-Downloads.
Mehr erfahren
Alle 3 Bilder anzeigen

Pattern Recognition (Englisch) Gebundene Ausgabe – 27. November 2008

5.0 von 5 Sternen 4 Kundenrezensionen

Alle 9 Formate und Ausgaben anzeigen Andere Formate und Ausgaben ausblenden
Preis
Neu ab Gebraucht ab
Kindle Edition
"Bitte wiederholen"
Gebundene Ausgabe
"Bitte wiederholen"
EUR 60,99
EUR 24,00 EUR 70,06
50 neu ab EUR 24,00 8 gebraucht ab EUR 70,06
click to open popover

Wird oft zusammen gekauft

  • Pattern Recognition
  • +
  • Machine Learning: A Probabilistic Perspective (Adaptive computation and machine learning.)
Gesamtpreis: EUR 125,48
Die ausgewählten Artikel zusammen kaufen

Es wird kein Kindle Gerät benötigt. Laden Sie eine der kostenlosen Kindle Apps herunter und beginnen Sie, Kindle-Bücher auf Ihrem Smartphone, Tablet und Computer zu lesen.

  • Apple
  • Android
  • Windows Phone

Geben Sie Ihre Mobiltelefonnummer ein, um die kostenfreie App zu beziehen.

Jeder kann Kindle Bücher lesen — selbst ohne ein Kindle-Gerät — mit der KOSTENFREIEN Kindle App für Smartphones, Tablets und Computer.

Produktinformation

Produktbeschreibungen

Pressestimmen

"This book is an excellent reference for pattern recognition, machine learning, and data mining. It focuses on the problems of classification and clustering, the two most important general problems in these areas. This book has tremendous breadth and depth in its coverage of these topics; it is clearly the best book available on the topic today. The new edition is an excellent up-to-date revision of the book. I have especially enjoyed the new coverage provided in several topics, including new viewpoints on Support Vector Machines, and the complete in-depth coverage of new clustering methods. This is a standout characteristic of this book: the coverage of the topics is solid, deep, and principled throughout. The book is very successful in bringing out the important points in each technique, while containing lots of interesting examples to explain complicated concepts. I believe the section on dimensionality reduction is an excellent exposition on this topic, among the best available, and this is just one example. Combined with a coverage unique in its extend, this makes the book appropriate for use as a reference, as a textbook for upper level undergraduate or graduate classes, and for the practitioner that wants to apply these techniques in practice. I am a professor in Computer Science. Although pattern recognition is not my main focus, I work in the related fields of data mining and databases. I have used this book for my own research and, very successfully, as teaching material. I would strongly recommend this book to both the academic student and the professional."- Dimitrios Gunopoulos, University of California, Riverside, USA.

"I cut my pattern recognition teeth on a draft version of Duda and Hart (1973). Over subsequent decades, I consistently did two things: (i) recommended Duda and Hart as the best book available on pattern recognition; and (ii) wanted to write the next best book on this topic.

I stopped (i) when the first edition ofS. Theodoridis andK. Koutroumbas'book appeared, and it supplanted the need for (ii)

It was, and is, the best book that has been written on the subject since Duda and Hart's seminal original text. Buy it - you'll be happy you did." - Jim Bezdek, University of West Florida and Senior Fellow, U. of Melbourne (Australia).

"I consider the fourth edition of the book Pattern Recognition, by S. Theodoridis and K. Koutroumbas as the "Bible of Pattern Recognition"- Simon Haykin, McMaster University, Canada

"I have taught a graduate course on statistical pattern recognition for more than twenty five years during which I have used many books with different levels of satisfaction. Recently, I adopted the book by Theodoridis and Koutroumbas (4th edition) for my graduate course on statistical pattern recognition at University of Maryland. This course is taken by students from electrical engineering, computer science, linguistics and applied mathematics. The comprehensive book by Thedoridis and Koutroumbas covers both traditional and modern topics in statistical pattern recognition in a lucid manner, without compromising rigor. This book elegantly addresses the needs of graduate students from the different disciplines mentioned above. This is the only book that does justice to both supervised and unsupervised (clustering) techniques. Every student, researcher and instructor who is interested in any and all aspects of statistical pattern recognition will find this book extremely satisfying. I recommend it very highly." -Rama Chellappa, University of Maryland

"The book Pattern Recognition, by Profs. Sergios Theodoridis and Konstantinos Koutroumbas, has rapidly become the "bible" for teaching and learning the ins and outs of pattern recognition technology. In my own teaching, I have utilized the material in the first four chapters of the book (from basics to Bayes Decision Theory to Linear Classifiers and finally to Nonlinear Classifiers) in my class on fundamentals of speech recognition and have found the material to be presented in a clear and easily understandable manner, with excellent problems and ideas for projects. My students have all learned the basics of pattern recognition from this book and I highly recommend it to any serious student in this area." -Prof. Lawrence Rabiner"

"This book is an excellent reference for pattern recognition, machine learning, and data mining. It focuses on the problems of classification and clustering, the two most important general problems in these areas. This book has tremendous breadth and depth in its coverage of these topics; it is clearly the best book available on the topic today. The new edition is an excellent up-to-date revision of the book. I have especially enjoyed the new coverage provided in several topics, including new viewpoints on Support Vector Machines, and the complete in-depth coverage of new clustering methods. This is a standout characteristic of this book: the coverage of the topics is solid, deep, and principled throughout. The book is very successful in bringing out the important points in each technique, while containing lots of interesting examples to explain complicated concepts. I believe the section on dimensionality reduction is an excellent exposition on this topic, among the best available, and this is just one example. Combined with a coverage unique in its extend, this makes the book appropriate for use as a reference, as a textbook for upper level undergraduate or graduate classes, and for the practitioner that wants to apply these techniques in practice. I am a professor in Computer Science. Although pattern recognition is not my main focus, I work in the related fields of data mining and databases. I have used this book for my own research and, very successfully, as teaching material. I would strongly recommend this book to both the academic student and the professional."- Dimitrios Gunopoulos, University of California, Riverside, USA.

"I cut my pattern recognition teeth on a draft version of Duda and Hart (1973). Over subsequent decades, I consistently did two things: (i) recommended Duda and Hart as the best book available on pattern recognition; and (ii) wanted to write the next best book on this topic.

I stopped (i) when the first edition of S. Theodoridis and K. Koutroumbas' book appeared, and it supplanted the need for (ii)

It was, and is, the best book that has been written on the subject since Duda and Hart's seminal original text. Buy it - you'll be happy you did." - Jim Bezdek, University of West Florida and Senior Fellow, U. of Melbourne (Australia).

"I consider the fourth edition of the book Pattern Recognition, by S. Theodoridis and K. Koutroumbas as the "Bible of Pattern Recognition"- Simon Haykin, McMaster University, Canada

"I have taught a graduate course on statistical pattern recognition for more than twenty five years during which I have used many books with different levels of satisfaction. Recently, I adopted the book by Theodoridis and Koutroumbas (4th edition) for my graduate course on statistical pattern recognition at University of Maryland. This course is taken by students from electrical engineering, computer science, linguistics and applied mathematics. The comprehensive book by Thedoridis and Koutroumbas covers both traditional and modern topics in statistical pattern recognition in a lucid manner, without compromising rigor. This book elegantly addresses the needs of graduate students from the different disciplines mentioned above. This is the only book that does justice to both supervised and unsupervised (clustering) techniques. Every student, researcher and instructor who is interested in any and all aspects of statistical pattern recognition will find this book extremely satisfying. I recommend it very highly." -Rama Chellappa, University of Maryland

"The book Pattern Recognition, by Profs. Sergios Theodoridis and Konstantinos Koutroumbas, has rapidly become the "bible" for teaching and learning the ins and outs of pattern recognition technology. In my own teaching, I have utilized the material in the first four chapters of the book (from basics to Bayes Decision Theory to Linear Classifiers and finally to Nonlinear Classifiers) in my class on fundamentals of speech recognition and have found the material to be presented in a clear and easily understandable manner, with excellent problems and ideas for projects. My students have all learned the basics of pattern recognition from this book and I highly recommend it to any serious student in this area." -Prof. Lawrence Rabiner



-This book is an excellent reference for pattern recognition, machine learning, and data mining. It focuses on the problems of classification and clustering, the two most important general problems in these areas. This book has tremendous breadth and depth in its coverage of these topics; it is clearly the best book available on the topic today. The new edition is an excellent up-to-date revision of the book. I have especially enjoyed the new coverage provided in several topics, including new viewpoints on Support Vector Machines, and the complete in-depth coverage of new clustering methods. This is a standout characteristic of this book: the coverage of the topics is solid, deep, and principled throughout. The book is very successful in bringing out the important points in each technique, while containing lots of interesting examples to explain complicated concepts. I believe the section on dimensionality reduction is an excellent exposition on this topic, among the best available, and this is just one example. Combined with a coverage unique in its extend, this makes the book appropriate for use as a reference, as a textbook for upper level undergraduate or graduate classes, and for the practitioner that wants to apply these techniques in practice. I am a professor in Computer Science. Although pattern recognition is not my main focus, I work in the related fields of data mining and databases. I have used this book for my own research and, very successfully, as teaching material. I would strongly recommend this book to both the academic student and the professional.-- Dimitrios Gunopoulos, University of California, Riverside, USA.

-I cut my pattern recognition teeth on a draft version of Duda and Hart (1973). Over subsequent decades, I consistently did two things: (i) recommended Duda and Hart as the best book available on pattern recognition; and (ii) wanted to write the next best book on this topic.

I stopped (i) when the first edition of S. Theodoridis and K. Koutroumbas' book appeared, and it supplanted the need for (ii)

It was, and is, the best book that has been written on the subject since Duda and Hart's seminal original text. Buy it - you'll be happy you did.- - Jim Bezdek, University of West Florida and Senior Fellow, U. of Melbourne (Australia).

-I consider the fourth edition of the book Pattern Recognition, by S. Theodoridis and K. Koutroumbas as the -Bible of Pattern Recognition-- Simon Haykin, McMaster University, Canada

-I have taught a graduate course on statistical pattern recognition for more than twenty five years during which I have used many books with different levels of satisfaction. Recently, I adopted the book by Theodoridis and Koutroumbas (4th edition) for my graduate course on statistical pattern recognition at University of Maryland. This course is taken by students from electrical engineering, computer science, linguistics and applied mathematics. The comprehensive book by Thedoridis and Koutroumbas covers both traditional and modern topics in statistical pattern recognition in a lucid manner, without compromising rigor. This book elegantly addresses the needs of graduate students from the different disciplines mentioned above. This is the only book that does justice to both supervised and unsupervised (clustering) techniques. Every student, researcher and instructor who is interested in any and all aspects of statistical pattern recognition will find this book extremely satisfying. I recommend it very highly.- -Rama Chellappa, University of Maryland

-The book Pattern Recognition, by Profs. Sergios Theodoridis and Konstantinos Koutroumbas, has rapidly become the -bible- for teaching and learning the ins and outs of pattern recognition technology. In my own teaching, I have utilized the material in the first four chapters of the book (from basics to Bayes Decision Theory to Linear Classifiers and finally to Nonlinear Classifiers) in my class on fundamentals of speech recognition and have found the material to be presented in a clear and easily understandable manner, with excellent problems and ideas for projects. My students have all learned the basics of pattern recognition from this book and I highly recommend it to any serious student in this area.- -Prof. Lawrence Rabiner

Synopsis

This book considers classical and current theory and practice, of both supervised and unsupervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. This title is thoroughly developed to include many more worked examples to give greater understanding of this mathematically oriented subject. Many more diagrams are included in it - now in two color - to provide greater insight through visual presentation. Latest hot topics included to further the reference value of the text including semi-supervised learning, combining clustering algorithms, and relevance feedback. It features an accompanying manual that includes Matlab code of the methods and algorithms in the book, together with solved problems and real-life data sets in medical imaging, remote sensing and audio recognition.

Alle Produktbeschreibungen

Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?


Kundenrezensionen

5,0 von 5 Sternen
5 Sterne
4
4 Sterne
0
3 Sterne
0
2 Sterne
0
1 Stern
0
Sagen Sie Ihre Meinung zu diesem Artikel
Alle 4 Kundenrezensionen anzeigen

Top-Kundenrezensionen

am 19. Dezember 2003
Format: Gebundene Ausgabe
0Kommentar| 7 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich?JaNeinMissbrauch melden
am 23. Mai 2008
Format: Gebundene Ausgabe
0Kommentar|War diese Rezension für Sie hilfreich?JaNeinMissbrauch melden
am 23. April 2000
Format: Gebundene Ausgabe
0Kommentar| Eine Person fand diese Informationen hilfreich. War diese Rezension für Sie hilfreich?JaNeinMissbrauch melden
am 21. April 2000
Format: Gebundene Ausgabe
0Kommentar|War diese Rezension für Sie hilfreich?JaNeinMissbrauch melden

Die hilfreichsten Kundenrezensionen auf Amazon.com

Amazon.com: 3,9 von 5 Sternen 29 Rezensionen
5 Personen fanden diese Informationen hilfreich.
5,0 von 5 SternenExcellent
am 4. Dezember 2006 - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe|Verifizierter Kauf
11 Personen fanden diese Informationen hilfreich.
1,0 von 5 SternenDon't get the kindle edition (unless it gets revised)
am 11. April 2012 - Veröffentlicht auf Amazon.com
Verifizierter Kauf
5,0 von 5 SternenThe best book on Pattern Recognition
am 30. Oktober 2010 - Veröffentlicht auf Amazon.com
Verifizierter Kauf
26 Personen fanden diese Informationen hilfreich.
3,0 von 5 SternenIt might be the bible for pattern recognition but ...
am 5. Juni 2010 - Veröffentlicht auf Amazon.com
Verifizierter Kauf
Eine Person fand diese Informationen hilfreich.
5,0 von 5 SternenPattern Recognition - Clearly Written
am 3. Februar 2010 - Veröffentlicht auf Amazon.com
Verifizierter Kauf

Wo ist meine Bestellung?

Versand & Rücknahme

Brauchen Sie Hilfe?