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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology, Constantin Papaodysseus


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Автор: Constantin Papaodysseus
Название:  Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology
ISBN: 9781609607869
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1609607864
Обложка/Формат: Hardcover
Страницы: 330
Вес: 0.79 кг.
Дата издания: 30.03.2012
Серия: Computing & IT
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 259 x 180 x 23
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence
Подзаголовок: Mathematical and computational solutions for archaeology
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Поставляется из: Англии
Описание: Computer science-especially pattern recognition, signal processing and mathematical algorithms-can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Computational Texture and Patterns: From Textons to Deep Learning

Автор: Kristin J. Dana
Название: Computational Texture and Patterns: From Textons to Deep Learning
ISBN: 1681730111 ISBN-13(EAN): 9781681730110
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
Наличие на складе: Невозможна поставка.
Описание: Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.

Signal Processing and Pattern Recognition in Nondestructive

Автор: Chen C. H.
Название: Signal Processing and Pattern Recognition in Nondestructive
ISBN: 3642834248 ISBN-13(EAN): 9783642834240
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the NATO Advanced Research Workshop on Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials, held at the Manoir St-Castin, Lac Beauport, Quebec, Canada, August 19-22, 1987.

Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition

Автор: Tai-hoon Kim; Sabah Mohammed; Carlos Ramos; Jemal
Название: Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition
ISBN: 3642352693 ISBN-13(EAN): 9783642352690
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book comprises the refereed proceedings of the International Conferences, SIP, WSE, and ICHCI 2012, held in conjunction with GST 2012 on Jeju Island, Korea, in November/December 2012.

Signal Processing, Image Processing and Pattern Recognition,

Автор: Dominik Slezak; Sankar Pal; Byeong-Ho Kang; Junzho
Название: Signal Processing, Image Processing and Pattern Recognition,
ISBN: 3642105459 ISBN-13(EAN): 9783642105456
Издательство: Springer
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Цена: 93160.00 T
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Описание: Includes the proceedings of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2009, held as part of the Future Generation Information Technology Conference, FGIT 2009, held on Jeju Island, Korea, December 10-12, 2009.

Computational Intelligence for Pattern Recognition

Автор: Pedrycz
Название: Computational Intelligence for Pattern Recognition
ISBN: 3319896288 ISBN-13(EAN): 9783319896281
Издательство: Springer
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Цена: 139750.00 T
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Описание: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification.

Pattern Recognition: Introduction, Features, Classifiers and Principles

Автор: Jurgen Beyerer, Matthias Richter, Matthias Nagel
Название: Pattern Recognition: Introduction, Features, Classifiers and Principles
ISBN: 3110537931 ISBN-13(EAN): 9783110537932
Издательство: Walter de Gruyter
Цена: 86720.00 T
Наличие на складе: Невозможна поставка.
Описание: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners

Computational Intelligence in Multi-Feature Visual Pattern Recognition

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9811011710 ISBN-13(EAN): 9789811011719
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.

Computational Intelligence in Pattern Recognition: Proceedings of Cipr 2019

Автор: Das Asit Kumar, Nayak Janmenjoy, Naik Bighnaraj
Название: Computational Intelligence in Pattern Recognition: Proceedings of Cipr 2019
ISBN: 981139041X ISBN-13(EAN): 9789811390418
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Computer Interpretation of Metaphoric Phrases

Автор: Sylvia Weber Russell
Название: Computer Interpretation of Metaphoric Phrases
ISBN: 1501510657 ISBN-13(EAN): 9781501510656
Издательство: Walter de Gruyter
Цена: 74320.00 T
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Описание: The computational approach of this book is aimed at simulating the human ability to understand various kinds of phrases with a novel metaphoric component. That is, interpretations of metaphor as literal paraphrases are based on literal meanings of the metaphorically used words. This method distinguishes itself from statistical approaches, which in general do not account for novel usages, and from efforts directed at metaphor constrained to one type of phrase or to a single topic domain. The more interesting and novel metaphors appear to be based on concepts generally represented as nouns, since such concepts can be understood from a variety of perspectives. The core of the process of interpreting nominal concepts is to represent them in such a way that readers or hearers can infer which aspect(s) of the nominal concept is likely to be intended to be applied to its interpretation. These aspects are defined in terms of verbal and adjectival predicates. A section on the representation and processing of part-sentence verbal metaphor will therefore also serve as preparation for the representation of salient aspects of metaphorically used nouns. As the ability to process metaphorically used verbs and nouns facilitates the interpretation of more complex tropes, computational analysis of two other kinds of metaphorically based expressions are outlined: metaphoric compound nouns, such as "idea factory" and, together with the representation of inferences, modified metaphoric idioms, such as "Put the cat back into the bag".

Computational Signal Processing and Analysis

Автор: Nandi
Название: Computational Signal Processing and Analysis
ISBN: 9811083533 ISBN-13(EAN): 9789811083532
Издательство: Springer
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Цена: 167700.00 T
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Описание: Featuring the latest research on computational signal processing and analysis, the book is useful to researchers, professionals, and students working in the core areas of electronics and their applications, especially signal processing, embedded systems, and networking.

Computational Models of Speech Pattern Processing

Автор: Keith Ponting
Название: Computational Models of Speech Pattern Processing
ISBN: 3642642500 ISBN-13(EAN): 9783642642500
Издательство: Springer
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Цена: 97820.00 T
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Описание: Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997


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