biniam asnake and girma aweke optical character recognition based retrieval

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Christian Sallaberry Geographical Information Retrieval in Textual Corpora

This book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination. After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research. The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature. The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process. Contents Foreword, Christophe Claramunt. 1. Access by Geographic Content to Textual Corpora: What Orientations ? 2. Spatial and Temporal Information Retrieval in Textual Corpora. 3. Multicriteria Information Retrieval in Textual Corpora. 4. General Conclusion. About the Authors Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.

5698.31 рублей

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Gabriel Oniscu Abdominal Organ Retrieval and Transplantation Bench Surgery

Abdominal organ transplantation is a complex, multi-step process that requires flawless surgery from start to finish. Training in organ retrieval and bench surgery, however, has varied from country to country and even center to center, and trainees too often must rely on hands-on experience without the benefit of extensive practical or theoretical training. With the number of transplant programs on the rise and the demand for donor organs increasing steadily as outcomes continue to improve, there is a greater need than ever before for a practical and comprehensive reference that transplantation professionals can turn to for clear and comprehensive guidance. Abdominal Organ Retrieval and Transplantation Bench Surgery fills that need. This important new book covers all aspects of retrieval and bench surgery of the abdominal organs. Coverage includes organ retrieval logistics and organ preservation; retrieval and bench surgery of the kidney, liver, pancreas and intestine; in situ and ex situ liver splitting; multi-organ retrieval; paediatric age-specific aspects of retrieval and bench surgery; and more. Key features include: Practice learning points for each procedure Detailed color illustrations of standard techniques Thorough guidance on dealing with anatomical variations Abdominal Organ Retrieval and Transplantation Bench Surgery is the ideal guide for surgeons and donor retrieval teams alike. With its step-wise approach and practical orientation, it is a reference transplant professionals can trust to help them understand and excel at all aspects of abdominal organ retrieval, from managing potential donors and properly retrieving organs to minimizing the likelihood of common pitfalls while mastering the latest surgical techniques.

15967.37 рублей

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Webb Andrew R. Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition

11571.43 рублей

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Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

10497.42 рублей

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Joanne Flood M. Wiley Revenue Recognition plus Website. Understanding and Implementing the New Standard

Everything you need to understand and implement the new converged FASB-IASB revenue recognition standard Wiley Revenue Recognition provides an overview of the new revenue recognition standard and instructs financial statement preparers step-by-step through the new model, providing numerous, helpful application examples along the way. Readers will grasp the many new disclosures that will be required through the use of detailed explanations and useful samples, while electronic tools will be available to aid the preparer in implementing the standards and making the proper disclosures. The Financial Accounting Standards Board (FASB) and the International Accounting Standards Board (IASB) are in the final stages of a decade-long project to clarify and converge revenue recognition standards. This new principles-based standard—which will affect the business practices of virtually every company worldwide—is designed to serve as one model applied consistently across most industries. This book guides professionals through the new standard. Offers a full explanation of over forty topics superseded by the new standard Includes digital ancillaries featuring measurement tools and GAAP and IFRS Disclosure Checklists Provides all the tools needed to implement the new revenue recognition standard Covers how the structure of contracts will be affected Wiley Revenue Recognition is a trusted, authoritative guide to the new FASB-IASB revenue recognition standard for CPAs and financial professionals worldwide.

6066.7 рублей

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Hamid Laga 3D Shape Analysis. Fundamentals, Theory, and Applications

An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of «3D shape analysis». It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.

11954.59 рублей

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Amit Konar Emotion Recognition. A Pattern Analysis Approach

A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.

10123.22 рублей

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Mildren Rich Optical Engineering of Diamond

This is the first comprehensive book on the engineering of diamond optical devices. Written by 39 experts in the field, it gives readers an up-to-date review of the properties of optical quality synthetic diamond (single crystal and nanodiamond) and the nascent field of diamond optical device engineering. Application areas covered in detail in this book include quantum information processing, high performance lasers and light sources, and bioimaging. It provides scientists, engineers and physicists with a valuable and practical resource for the design and development of diamond-based optical devices.

13947.02 рублей

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Wang Binghe Carbohydrate Recognition. Biological Problems, Methods, and Applications

This book contains contributions from interdisciplinary scientists to collectively address the issue of targeting carbohydrate recognition for the development of novel therapeutic and diagnostic agents. The book covers (1) biological problems involving carbohydrate recognition, (2) structural factors mediating carbohydrate recognition, (3) design and synthesis of lectin mimics that recognize carbohydrate ligands with high specificity and affinity, and (4) modulation of biological and pathological processes through carbohydrate recognition.

11954.59 рублей

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Gaussier Eric Textual Information Access. Statistical Models

This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: – information extraction and retrieval; – text classification and clustering; – opinion mining; – comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari,
Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis,
Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and
Fréderic Béchet.

14713.34 рублей

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Cillian McBride Recognition

A tension between the desire to be respected as an equal and the desire to distinguish oneself as a unique person lies at the heart of the modern social order. Everyone cares about recognition: no one wants to be treated with disrespect, insulted, humiliated, or simply ignored. This basic motivation drives the ‘politics of recognition’ which we see in those struggles for inclusion and equality in relation to gender, ethnicity, race and sexuality and which seek to affirm the public value of these particular identities. In this compelling new book Cillian McBride argues that the notion of recognition is not merely confined to these struggles, but has a long history, from ancient ethical ideals centred on the achievement of honour and glory, to Enlightenment ideals of human dignity and equality. He explores the politics of cultural rights and recognition, the conflict between dignity and esteem, the role of shame and stigma in systems of social control and punishment, the prospects for a just society in which everyone receives the recognition they deserve, and the way in which we come to be independent, self-determining persons through negotiating the networks of social recognition we inhabit. Recognition will be essential reading for students in philosophy and political theory, and any general readers interested in trying to understand and evaluate the role of recognition in the modern world.

4594.09 рублей

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Takahiro Numai Laser Diodes and Their Applications to Communications and Information Processing

In order to develop excellent photonic devices, we have to fully understand the physics behind operations of photonic devices. This book thoroughly teaches the fundamental physics currently applied to the development of photonics devices such as energy bands of semiconductors, optical transitions, optical waveguides, and semiconductor junctions. The book also reviews the characteristics of laser diodes, optical filters, and optical functional devices, which have been developed based on the above physics. These photonic devices have been demonstrated in system applications, and several experimental results are described.

10651.85 рублей

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Guo Zhongwu Carbohydrate-Based Vaccines and Immunotherapies

The fundamental science and the latest developments in carbohydrate-based vaccines The relatively new field of glycoimmunology has emerged from the marriage of glycobiology and immunology, in recognition of the important role carbohydrates play as antigenic determinants. Carbohydrate-Based Vaccines and Immunotherapies comprehensively reviews the state of this exciting field, offering a single source for both the fundamental science and the latest developments. With contributions by leading experts, this resource covers the design, synthesis, evaluation, and applications of various carbohydrate-based vaccines, including polysaccharides, neoglycoproteins, and neoglycolipids. The text approaches vaccine design from a chemical and molecular focus, staying in line with current advances. Key topics covered by Carbohydrate-Based Vaccines and Immunotherapies include: Recent developments towards clinically useful vaccines against bacteria, viruses, parasites, and fungi Using adjuvants to improve immunogenicity and/or immunological properties of vaccines Choosing and designing proper adjuvants for specific targets Abnormal carbohydrates expressed by tumors Carbohydrate-based therapeutic cancer vaccines or cancer immunotherapy Clinical trials results for synthetic cancer vaccines Glycoengineering of cell surface carborhydrates and its anticancer applications Using cell surface carbohydrates for disease diagnosis A single, convenient source of state-of-the-art information from leading authorities in the field, Carbohydrate-Based Vaccines and Immunotherapies is an essential reference for organic chemists and biochemists, academic researchers, and other students and professionals involved in vaccine design.

12261.12 рублей

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Boguslaw Cyganek Object Detection and Recognition in Digital Images. Theory and Practice

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

10422.72 рублей

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Jan Flusser Moments and Moment Invariants in Pattern Recognition

Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging. Key features: Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform – from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.

10422.72 рублей

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Chuangtian Chen Nonlinear Optical Borate Crystals. Principals and Applications

This clear and self-contained review of the last four decades of research highlights in the hot field of nonlinear optical (NLO) crystals, particularly of borate-based ultraviolet and deep-ultraviolet NLO crystals, covers three major subjects: the structure-property relationship in borate crystals, the structural and optical characteristics of various promising borate crystals, and their fruitful applications in a wide range of scientific and technological fields. Edited by the discoverers and users of these optical borate crystals, this is a readily accessible reading for semiconductor, applied and solid state physicists, materials scientists, solid state chemists, manufacturers of optoelectronic devices, and those working in the optical industry.

14396.6 рублей

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Jan Flusser 2D and 3D Image Analysis by Moments

Presents recent significant and rapid development in the field of 2D and 3D image analysis 2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field. The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: Presents a systematic overview of moment-based features used in 2D and 3D image analysis. Demonstrates invariant properties of moments with respect to various spatial and intensity transformations. Reviews and compares several orthogonal polynomials and respective moments. Describes efficient numerical algorithms for moment computation. It is a «classroom ready» textbook with a self-contained introduction to classifier design. The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.

8348.99 рублей

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Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging. Key features: Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform – from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.

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