Recognizing Patterns in Signals, Speech, Images, and Videos

Recognizing Patterns in Signals, Speech, Images, and Videos PDF Author: International Association for Pattern Recognition
Publisher: Springer Science & Business Media
ISBN: 3642177107
Category : Computers
Languages : en
Pages : 325

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Book Description
This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul, Turkey, in August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task, ImageCLEF@ICPR - Robot Vision Task, MOBIO - Mobile Biometry Face and Speaker Verification Evaluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.

Recognizing Patterns in Signals, Speech, Images, and Videos

Recognizing Patterns in Signals, Speech, Images, and Videos PDF Author: International Association for Pattern Recognition
Publisher: Springer Science & Business Media
ISBN: 3642177107
Category : Computers
Languages : en
Pages : 325

Get Book Here

Book Description
This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul, Turkey, in August 2010. The 31 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task, ImageCLEF@ICPR - Robot Vision Task, MOBIO - Mobile Biometry Face and Speaker Verification Evaluation, PR in HIMA - Pattern Recognition in Histopathological Images, SDHA 2010 - Semantic Description of Human Activities.

Recognizing Patterns in Signals, Speech, Images, and Videos

Recognizing Patterns in Signals, Speech, Images, and Videos PDF Author: Devrim Nay
Publisher:
ISBN: 9783642177125
Category :
Languages : en
Pages : 328

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Book Description


Graph-based Keyword Spotting

Graph-based Keyword Spotting PDF Author: Stauffer Michael
Publisher: World Scientific
ISBN: 9811206643
Category : Computers
Languages : en
Pages : 296

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Book Description
Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Challenges and Trends in Multimodal Fall Detection for Healthcare

Challenges and Trends in Multimodal Fall Detection for Healthcare PDF Author: Hiram Ponce
Publisher: Springer Nature
ISBN: 3030387488
Category : Technology & Engineering
Languages : en
Pages : 263

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Book Description
This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.

Quantitative Graph Theory

Quantitative Graph Theory PDF Author: Matthias Dehmer
Publisher: CRC Press
ISBN: 1466584521
Category : Computers
Languages : en
Pages : 528

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Book Description
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical technique

Artificial Intelligence in Cancer

Artificial Intelligence in Cancer PDF Author: Smaranda Belciug
Publisher: Academic Press
ISBN: 0128204109
Category : Science
Languages : en
Pages : 310

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Book Description
Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. - Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel - Presents over 100 diagrams, making it easier to comprehend AI's results on a specific problem through visual resources - Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case

Multilingual and Multimodal Information Access Evaluation

Multilingual and Multimodal Information Access Evaluation PDF Author: Pamela Forner
Publisher: Springer Science & Business Media
ISBN: 364223707X
Category : Computers
Languages : en
Pages : 153

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Book Description
This book constitutes the refereed proceedings of the Second International Conference on Multilingual and Multimodal Information Access Evaluation, in continuation of the popular CLEF campaigns and workshops that have run for the last decade, CLEF 2011, held in Amsterdem, The Netherlands, in September 2011. The 14 revised full papers presented together with 2 keynote talks were carefully reviewed and selected from numerous submissions. The papers accepted for the conference included research on evaluation methods and settings, natural language processing within different domains and languages, multimedia and reflections on CLEF. Two keynote speakers highlighted important developments in the field of evaluation: the role of users in evaluation and a framework for the use of crowdsourcing experiments in the setting of retrieval evaluation.

Speaker Authentication

Speaker Authentication PDF Author: Qi (Peter) Li
Publisher: Springer Science & Business Media
ISBN: 3642237312
Category : Technology & Engineering
Languages : en
Pages : 253

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Book Description
This book focuses on use of voice as a biometric measure for personal authentication. In particular, "Speaker Recognition" covers two approaches in speaker authentication: speaker verification (SV) and verbal information verification (VIV). The SV approach attempts to verify a speaker’s identity based on his/her voice characteristics while the VIV approach validates a speaker’s identity through verification of the content of his/her utterance(s). SV and VIV can be combined for new applications. This is still a new research topic with significant potential applications. The book provides with a broad overview of the recent advances in speaker authentication while giving enough attention to advanced and useful algorithms and techniques. It also provides a step by step introduction to the current state of the speaker authentication technology, from the fundamental concepts to advanced algorithms. We will also present major design methodologies and share our experience in developing real and successful speaker authentication systems. Advanced and useful topics and algorithms are selected with real design examples and evaluation results. Special attention is given to the topics related to improving overall system robustness and performances, such as robust endpoint detection, fast discriminative training theory and algorithms, detection-based decoding, sequential authentication, etc. For example, the sequential authentication was developed based on statistical sequential testing theory. By adding enough subtests, a speaker authentication system can achieve any accuracy requirement. The procedure of designing the sequential authentication will be presented. For any presented technique, we will provide experimental results to validate the usefulness. We will also highlight the important developments in academia, government, and industry, and outline a few open issues. As the methodologies developed in speaker authentication span several diverse fields, the tutorial book provides an introductory forum for a broad spectrum of researchers and developers from different areas to acquire the knowledge and skills to engage in the interdisciplinary fields of user authentication, biometrics, speech and speaker recognition, multimedia, and dynamic pattern recognition.

Graph Embedding for Pattern Analysis

Graph Embedding for Pattern Analysis PDF Author: Yun Fu
Publisher: Springer Science & Business Media
ISBN: 1461444578
Category : Technology & Engineering
Languages : en
Pages : 264

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Book Description
Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Focus on Bio-Image Informatics

Focus on Bio-Image Informatics PDF Author: Winnok H. De Vos
Publisher: Springer
ISBN: 3319285491
Category : Science
Languages : en
Pages : 277

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Book Description
This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers.