pattern recognition classification (188 Ergebnisse)

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Zustand: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. A few small marks or stains to the page edges/pages . Minor shelf wear.

Zustand: Good. Volume 2. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1750grams, ISBN:044486217X.

Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Sk 336 444001352 Sprache: Englisch Gewicht in Gramm: 550.

Zustand: New. In.

Zustand: Very Good. Used - Very Good.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: 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.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Paperback. Zustand: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Paperback. Zustand: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

Hardcover. Zustand: New. SHRINK-WRAPPED: US SELLER SHIPS FAST FROM USA.

Taschenbuch. Zustand: Neu. Neuware -Gene expression data analysis is one of the most valuable and relatively mature application areas of big data. This book is a work on cancer gene expression data mining and machine learning algorithms, comprehensively and systematically explaining the models, algorithms, platforms, and examples of cancer gene expression data learning. The book consists of 10 chapters and is divided into 4 parts. The first part includes chapters 1-3, which introduce the basic knowledge of cancer gene expression data, preprocessing techniques, and commonly used data analysis platforms; Part 2 (Chapters 4-6) introduces key gene screening, class imbalance data sampling, and cancer pathogenic gene prediction methods; Part 3 (Chapters 7-8) is about sequence based gene association rules and local pattern mining techniques. Chapter 7 is about gene association analysis mining frequent atomic sequences, and Chapter 8 is about mining and querying order-preserving submatrixes; Part 4 (Chapters 9-10) is the classification and novel class recognition algorithm for cancer gene expression data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 264 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge discovery in data is called data mining. Many data mining techniques require classification and clustering. Large data sets are available nowadays in the world and fast approaches of classification or clustering becomes a tedious work with large data sets. For example, computer vision, text mining, semantic web mining, natural language processing etc., require non-parametric pattern recognition methods. This book describes fast approaches to discover knowledge from large data sets.This book deals with condensing of large data and also preserving essential information in the data. This book describes many efficient fast classifiers and clustering methods which are based on density information in the large data sets. It describes to resolve vagueness and uncertainty that is present in large data sets using combination principles of rough sets and fuzzy sets. Approaches in this book are adaptive and they can be applied in many machine learning methods in many domains.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Real time Pattern recognition is a very active research area which overlaps with various other research fields such as Machine Learning, Artificial Intelligence, Data Mining, Probability Theory, Algebra and Calculus. In recent years the concept of data mining has emerged as one of them. The main focus of the experiment is on the mining algorithms to analyze a much accurate and efficient algorithm. Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform these data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Different classifier method has been analyzed. First, in this project we are interested in the comparison of the quality of different mining algorithms.

Paperback. Zustand: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.

Taschenbuch. Zustand: Neu. Neuware -Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader.The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data.In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity.Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classificationand computer vision. Other academics and practitioners will also find the book valuable.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner.Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the laterchapters.This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Shape description and analysis is a fundamental problem in image processing and pattern recognition. Efficient shape representation provides the foundation for the development of efficient algorithms for many shape related processing tasks, such as image coding, character recognition, image classification, shape matching, object recognition, content based video processing and image data retrieval. In this book, various methods and classification approaches are presented using morphology for child and adulthood classification, effective face recognition and classification of textures based on extensive empirical studies. This study should help in further research to generate new shape representation schemes based on wavelet transforms, genetic implementations and neural networks for classification and recognition problems. These empirical studies should be useful to researchers as well as professionals in the field of image processing and can find many applications and stimulate further research in the field of image processing and mathematical morphology.

Zustand: New. In.

Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donât hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!

Zustand: New. In.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The world of literary style is a complex and multifaceted realm that has long fascinated scholars and readers alike. In 'Investigating Pattern Recognition in Literary Style Classification', we explore the ways in which pattern recognition techniques can be used to classify literary styles and identify underlying patterns and structures. By examining the use of machine learning algorithms and natural language processing techniques, we can gain a deeper understanding of the ways in which literary styles are created and perceived. This book offers a comprehensive guide to the use of pattern recognition in literary style classification, providing readers with a framework for analyzing and interpreting literary texts. 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.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition.The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results.Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.

Zustand: New. In.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. 'Exercises in Morphological Pattern Recognition and Classification' offers practical activities designed to sharpen analytical skills in identifying and categorizing morphological structures. This book emphasizes hands-on practice, enabling readers to develop a keen eye for pattern recognition within complex linguistic data. It serves as an essential resource for students and researchers aiming to refine their classification techniques and deepen their understanding of morphological systems. 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.