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morana lukac germanys recognition of croatia and slovenia

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Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Montenegro, Yugoslava. Republic of Macedonia Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Montenegro, Yugoslava. Republic of Macedonia
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Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Montenegro, Yugoslava. Republic of Macedonia


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473 руб.

Удобные, подробные, раскладные карты, с хорошим масштабированием, на оригинальных языках. Масштаб 1:1 000 000.

Croatia. Slovenia. Superatlas 1:150 000 Croatia. Slovenia. Superatlas 1:150 000
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Croatia. Slovenia. Superatlas 1:150 000


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1481 руб.

Spiral-bound Superatlas of Croatia and Slovenia at 1:150,000 scale (1.5 km per cm) that depicts elevation with shaded-relief and color tinting. The 97 map pages for Croatia and 72 pages for Slovenia show highways and roads, scenic routes, rail and ferry lines, ports, distances in kilometers, hotels/inns/campgrounds, natural features, parks, and places of interest. Thorough placename index for both countries. Also included are city center plans for Dubrovnik, Karlovac, Osijek, Pula, Rijeka, Sibenik, Slavonski Brod, Split, Trogir, Umag, Zagreb, Varazdin, Zadar, Celje, Kranj, Koper, Murska Sobota, Ljubljana, Maribor. Includes section on Europe at 1:3.5 million scale (35 km per cm). Map legend in Slovak, Slovenian, Italian, Spanish, Dutch, German, English, French and other languages. Крепление: двойная евроспираль.

Croatia. 1:750 000 Croatia. 1:750 000
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Croatia. 1:750 000


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937 руб.

Croatia - Croatia, Slovenia, Bosnia and Herzegovina, Serbia, Montenegro, Kosovo, Macedonia laminated map Automotive 1:750 000 Format: 100 x 47 cm, when folded 11 x 24 cm laminated on both sides, comfortable in making map car the former Yugoslavia - for your holiday on the Adriatic roads in 2010, the sections under construction and planned episodes, car ferries road distances in kilometers, detailed numbering of roads Tourist contents, including historical sites and natural attractions, as well as campsites and mountain refuges Reference village legend in six languages: English, German, French, Polish, Czech and Hungarian

Barber Antonia Hidden Tales from Eastern Europe Barber Antonia Hidden Tales from Eastern Europe
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Barber Antonia Hidden Tales from Eastern Europe


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527 руб.

The walls of Eastern Europe have recently crumbled to reveal fascinating hidden cultures. To reflect this more open perspective, here is a collection of little-known folk tales from Poland, Slovakia, Russia, Croatia, Serbia, Slovenia and Romania. The seven elegantly told and beautifully illustrated tales create a timely collection to stimulate children's interest in their European neighbours.

Cillian McBride Recognition Cillian McBride Recognition
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Cillian McBride Recognition


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4564.85 руб.

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.

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


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11878.51 руб.

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.

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


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10147.85 руб.

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.

Slowenien. Kroatien, Serbien. 1:1 000 000 Slowenien. Kroatien, Serbien. 1:1 000 000
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Slowenien. Kroatien, Serbien. 1:1 000 000


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937 руб.

Explore the former Yugoslavia with this Freytag&Berndt double-sided road map. The best way to plan your trip, prepare your itinerary, and to travel independently in Slovenia, Croatia, Bosnia Herzegovina, Montenegro, Serbia, Kosovo, and FYROM. This one-sided map contains a place name index and shows inset maps of Belgrad, Ljubljana, Zagreb and Sarajevo. Touristic information: places of interest, airports, monuments, archaeological sites, camp-grounds. The legend is in English, Serbo-Croatian, French, German, Italian, Dutch, Spanish, Slovak, Hungarian, and Czech.

Amit Konar Emotion Recognition. A Pattern Analysis Approach Amit Konar Emotion Recognition. A Pattern Analysis Approach
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Amit Konar Emotion Recognition. A Pattern Analysis Approach


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9786.11 руб.

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.

Webb Andrew R. Statistical Pattern Recognition Webb Andrew R. Statistical Pattern Recognition
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Webb Andrew R. Statistical Pattern Recognition


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11497.79 руб.

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

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


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6028.09 руб.

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.

Slovenia 1:150 000 Slovenia 1:150 000
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Slovenia 1:150 000


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750 руб.

Explore Slovenia with this Freytag&Berndt double-sided road map. The best way to plan your trip, prepare your itinerary, and to travel independently in this country. Top10 Tips: This map includes a Top10 of most interesting sights.

Richard Brereton G. Chemometrics for Pattern Recognition Richard Brereton G. Chemometrics for Pattern Recognition
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Richard Brereton G. Chemometrics for Pattern Recognition


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12183.09 руб.

Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.

Richard Brereton G. Chemometrics for Pattern Recognition Richard Brereton G. Chemometrics for Pattern Recognition
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Richard Brereton G. Chemometrics for Pattern Recognition


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11598.23 руб.

Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.

Jan Flusser Moments and Moment Invariants in Pattern Recognition Jan Flusser Moments and Moment Invariants in Pattern Recognition
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Jan Flusser Moments and Moment Invariants in Pattern Recognition


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10075.64 руб.

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.

Matthias Distant Speech Recognition Matthias Distant Speech Recognition
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Matthias Distant Speech Recognition


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11421.65 руб.

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.

Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques
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Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


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12183.09 руб.

A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques
:

Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


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11598.23 руб.

A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Map of Croatia Fridge stickers Map of Croatia Fridge stickers
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Map of Croatia Fridge stickers


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431.17 руб.

Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition
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Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition


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10510.27 руб.

Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field

Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods
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Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods


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11421.65 руб.

This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Axel Honneth The I in We. Studies in the Theory of Recognition Axel Honneth The I in We. Studies in the Theory of Recognition
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Axel Honneth The I in We. Studies in the Theory of Recognition


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5326.3 руб.

In this volume Axel Honneth deepens and develops his highly influential theory of recognition, showing how it enables us both to rethink the concept of justice and to offer a compelling account of the relationship between social reproduction and individual identity formation. Drawing on his reassessment of Hegel’s practical philosophy, Honneth argues that our conception of social justice should be redirected from a preoccupation with the principles of distributing goods to a focus on the measures for creating symmetrical relations of recognition. This theoretical reorientation has far-reaching implications for the theory of justice, as it obliges this theory to engage directly with problems concerning the organization of work and with the ideologies that stabilize relations of domination. In the final part of this volume Honneth shows how the theory of recognition provides a fruitful and illuminating way of exploring the relation between social reproduction and identity formation. Rather than seeing groups as regressive social forms that threaten the autonomy of the individual, Honneth argues that the ‘I’ is dependent on forms of social recognition embodied in groups, since neither self-respect nor self-esteem can be maintained without the supportive experience of practising shared values in the group. This important new book by one of the leading social philosophers of our time will be of great interest to students and scholars in philosophy, sociology, politics and the humanities and social sciences generally.

Croatia and Montenegro. Adriatic Coast 1:300 000 Croatia and Montenegro. Adriatic Coast 1:300 000
:

Croatia and Montenegro. Adriatic Coast 1:300 000


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593 руб.

This easy-folding laminated comfort! map is durable and water resistant. Map includes up-to-date road network, places of interest, shaded relief and an index of places names. Double sided map. laminated on both sides. - places of tourist and historic interest - shaded relief - 5 city maps - index of names Масштаб 1: 300 000 Легенда на 4 языках.

Mohamed Daoudi 3D Face Modeling, Analysis and Recognition Mohamed Daoudi 3D Face Modeling, Analysis and Recognition
:

Mohamed Daoudi 3D Face Modeling, Analysis and Recognition


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9278.58 руб.

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book


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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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