applied pattern recognition (179 resultados)

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 107 9780201075861 Sprache: Englisch Gewicht in Gramm: 500.

171 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. so13408 9780231076111 Sprache: Englisch Gewicht in Gramm: 550.

X, 221 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. STEAM-H: Science, Technology, Engineeringm, Agriculture, Mathematics & Health. Sprache: Englisch.

Condición: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Softcover. Condición: Bon. Ancien livre de bibliothèque. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.

XI, 655 Seiten mit zahlreichen Abbildungen, Beiliegt: Der leicht angeränderte Original-Schutzumschlag. 9028609784 Sprache: Englisch Gewicht in Gramm: 1320 Groß 8°, Original-Leinen (Hardcover), Bibliotheks-Exemplar mit leichten Rückständen vom Rückenschild, Stempel auf Vorsatz, Titel, Schnitt und innen, Vorsatz mit montiertem Besitzvermerk, insgesamt gutes und innen sauberes Exemplar, (library copy in good condition),

Condición: New.

Pamphlet. Condición: Very Good. Vol 88, pp. 161-173, Maps, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 232 | Sprache: Englisch | Produktart: Bücher.

Condición: New. In.

Original boards. Condición: Near Fine. First Edition; First Impression. Review copy label on front pastedown. Light wear to spine, covers & corners. ; Octavo; 272 pages.

Kartoniert / Broschiert. Condición: New.

Hardcover. Condición: UsedGood. Hardcover; proceedings of the NATO Advanced Study Institute on Pattern Recognition -- Theory and Application, Bandol, France, September 1975; surplus library copy with the usual stampings; reference number taped to spine; front endpaper removed; otherwise in good condition with clean text, firm binding. Dust jacket, fading and shelf wear, protected by a Mylar cover.

Condición: Gut. Zustand: Gut | Seiten: 413 | Sprache: Englisch | Produktart: Bücher.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Condición: Good. Estado de la sobrecubierta: No dust jacket. xv, 526 p.

Softcover. Condición: gut. 1997. Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming software development Speech processing Spracherkennung statistical pattern recognition "Ein ganz großer Vorteil dieses Buches ist, dass die Thematik nicht nur auf einer abstrakten Ebene beschrieben wird, sondern dass im Buch immer wieder die Umsetzung der Aussagen in C++ gezeigt wird. neben einer Einführung in C++ werden die Algorithmen und Techniken immer wieder auch als Programm vorgestellt. Dadurch wird der Schritt von der Theorie - das heißt, dem als mathematische Formel beschriebenen Algorithmus - hin zur Praxis (dem Computerprogramm) durchgängig." Elektronik This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 3rd edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed. The description of the STL library was extended and STL is now used in many places in the book. The chapters 23 and 24 can now be used to build complete systems and give hints for further extensions.The book is divided into 4 parts. After an introduction to programming and software engineering, the required basics of image and speech processing are given. Statistics and mathematics is explained as required. The second part treats C++ as an object-oriented language and introduces it thru examples. In the third part the examples of the first and second part are combined to form an image segmentation and a word recognition system. All relevant features of the C++ language are thus introduced with direct relation to the tasks in image and speech processing. "Die Behandlung der C++-Konstukte ist wirklich anwendungsnah." Prof. Dr. Michael Schenke, FH Merseburg "// sehr umfassend - anschaulich, klar, gut nachvollziehbar." Prof. Dr.-Ing. Hans Peter Kölzer, HAW Hamburg "Dieses Buch werde ich meinen Studenten empfehlen, weil es einen sehr anschaulichen und motivierenden Einstieg in die Mustererkennung bietet." Prof. Dr. Hans-Peter Weber, FH Darmstadt Concerning 3rd edition: "This book is a beautifully arranged marriage of state-of-the-art pattern recognition theory and of programming theory and practice. The elegant and thorough treatment of modern aspects of speech and video processing and interpretation springs to life through a multitude of well-designed case studies and concrete examples." Carlo Tomasi, Prof. of Computer Science, Duke University, USA "This book is a must for learners of practical image processing. The examples are well explained and cover the needs of a graduate image processing or pattern recognition course." Laszlo Csink, Prof. of Computer Science, Budapest Polytechnic John von Neumann Faculty of Informatics, Hungary "I am not aware of a book comparable to this one which gives an excellent combination of an account of relevant topics in pattern recognition as well as of techniques for implementing the equations and algorithms in C++. Therefore, the book is invaluable both to students starting in the field and and to practitioners needing a special algorithm and its implementation." H. Niemann, Prof. of Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany "// this book has been the perfect source for my students and me. Not only that the reader is elegantly and in a straightforward manner guided to the central points of the theory, but in parallel the authors also make it transparent how to implement the algorithms resulting from the theory." Volkmar Welker, Prof. of Discrete Mathematics, University of Marburg, Germany Applied Pattern RecognitionA Practical Introduction to Image and Speech Processing in C++ Joachim Hornegger Dietrich W. R. Paulus Bildbearbeitung Bildverarbeitung Grafik EDV C++ Theorie Software-Entwicklung Mustererkennung Spracherkennung Vieweg+Teubner In englischer Sprache. 403 pages. 20,3 x 15,2 x 2,5 cm.

Condición: gut. Rechnung mit MwSt - Versand aus Deutschland pages.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 28th International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and the 23rd International Conference on Information and Knowledge Engineering, IKE 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024.The 19 IPCV 2024 papers included in these proceedings were carefully reviewed and selected from 98 submissions. IKE 2024 received 40 submissions and accepted 10 papers for inclusion in the proceedings.The papers have been organized in topical sections as follows: Image processing, computer vision and pattern recognition; image processing, computer vision and pattern recognition - detection methods; and information and knowledge engineering.

Condición: New. In English.

Condición: New. In.

Hardback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: Gut. Zustand: Gut | Seiten: 201 | Sprache: Englisch | Produktart: Bücher.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the 'four-color problem' posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic information preserved by any graph structure refers to adjacency relationships (edges) between some pairs of points. In the simplest graphs, edges do not have to hold any attributes, except their endpoints, but in more sophisticated graph structures, edges can be associated with a direction or assigned a label. Graph vertices can be labeled as well. A graph can be represented graphically as a drawing (vertex=dot,edge=arc),but,aslongaseverypairofadjacentpointsstaysconnected by the same edge, the graph vertices can be moved around on a drawing without changing the underlying graph structure. The expressive power of the graph models placing a special emphasis on c- nectivity between objects has made them the models of choice in chemistry, physics, biology, and other elds.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Applied Topology in Data Science and Pattern Recognition introduces topological methods as powerful tools for analyzing complex data structures. This book discusses concepts such as persistent homology and topological data analysis, demonstrating how they reveal intrinsic data features that traditional techniques might overlook. It emphasizes their application in pattern recognition, machine learning, and data visualization. The focus is on translating abstract mathematical ideas into practical solutions for extracting meaningful insights from high-dimensional and noisy datasets. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: gut. 1995. Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming software development Speech processing Spracherkennung statistical pattern recognition Provides an introduction to applications and problems from the field of pattern recognition. Basic topics and the mathematical background of image and speech processing are described. Algorithms and data structures for filtering, feature extraction, segmentation and classification are discussed.This work provides an instructive into applications and problems from the broad field of pattern recognition. It describes basic topics and the required mathematical background of image and speech processing. Algorithms and data structures for filtering, feature extraction, segmentation and classification are discussed, introducing and demonstrating different C++ concepts. The practice of object-oriented programming is illustrated by a step-wise development of a complete class library for image processing. Part 1 Introductions: pattern recognition; from C to C++; software development; expressions, statements, functions; classification and pattern analysis; arrays and pointers; statistics for pattern recognition; C++ as a better C. Part 2 Object-oriented pattern analysis: object-oriented programming; classes in C++; intensity images; inheritance in C++-classes; edge detection and edge images; class libraries; hierarchy of picture processing objects; spectral features and speech processing. Part 3 Pattern recognition algorithms: an image analysis system; synthetic signals and images; filtering and smoothing signals; histogram algorithms; edge images; line detection algorithms; chain codes. Appendices: basics of C++; software development tools; source codes and tools. Ein ganz großer Vorteil dieses Buches ist, dass die Thematik nicht nur auf einer abstrakten Ebene beschrieben wird, sondern dass im Buch immer wieder die Umsetzung der Aussagen in C++ gezeigt wird. neben einer Einführung in C++ werden die Algorithmen und Techniken immer wieder auch als Programm vorgestellt. Dadurch wird der Schritt von der Theorie - das heißt, dem als mathematische Formel beschriebenen Algorithmus - hin zur Praxis (dem Computerprogramm) durchgängig." Elektronik This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 3rd edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed. The description of the STL library was extended and STL is now used in many places in the book. The chapters 23 and 24 can now be used to build complete systems and give hints for further extensions.The book is divided into 4 parts. After an introduction to programming and software engineering, the required basics of image and speech processing are given. Statistics and mathematics is explained as required. The second part treats C++ as an object-oriented language and introduces it thru examples. In the third part the examples of the first and second part are combined to form an image segmentation and a word recognition system. All relevant features of the C++ language are thus introduced with direct relation to the tasks in image and speech processing. "Die Behandlung der C++-Konstukte ist wirklich anwendungsnah." Prof. Dr. Michael Schenke, FH Merseburg "// sehr umfassend - anschaulich, klar, gut nachvollziehbar." Prof. Dr.-Ing. Hans Peter Kölzer, HAW Hamburg "Dieses Buch werde ich meinen Studenten empfehlen, weil es einen sehr anschaulichen und motivierenden Einstieg in die Mustererkennung bietet." Prof. Dr. Hans-Peter Weber, FH Darmstadt Concerning 3rd edition: "This book is a beautifully arranged marriage of state-of-the-art pattern recognition theory and of programming theory and practice. The elegant and thorough treatment of modern aspects of speech and video processing and interpretation springs to life through a multitude of well-designed case studies and concrete examples." Carlo Tomasi, Prof. of Computer Science, Duke University, USA "This book is a must for learners of practical image processing. The examples are well explained and cover the needs of a graduate image processing or pattern recognition course." Laszlo Csink, Prof. of Computer Science, Budapest Polytechnic John von Neumann Faculty of Informatics, Hungary "I am not aware of a book comparable to this one which gives an excellent combination of an account of relevant topics in pattern recognition as well as of techniques for implementing the equations and algorithms in C++. Therefore, the book is invaluable both to students starting in the field and and to practitioners needing a special algorithm and its implementation." H. Niemann, Prof. of Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany "// this book has been the perfect source for my students and me. Not only that the reader is elegantly and in a straightforward manner guided to the central points of the theory, but in parallel the authors also make it transparent how to implement the algorithms resulting from the theory." Volkmar Welker, Prof. of Discrete Mathematics, University of Marburg, Germany Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming software development Speech processing Spracherkennung statistical pattern recognition Informatik Grafik Design Digitale Bildverarbeitung Mathematik Programmiersprachen Programmierwerkzeuge Studium Künstliche Intelligenz Robotik In englischer Sprache. 357 pages. 20,3 x 15,2 x 2,5 cm.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The Applied Topology in Data Science for Pattern Recognition book presents a comprehensive guide to the application of topological techniques in data science for pattern recognition. By examining the principles and applications of topological data analysis, this book offers a detailed understanding of the use of topological methods in data science. From the use of persistent homology to the application of topological data analysis in machine learning, this book showcases the latest research and technologies in the field of data science. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.