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Since their first inception more than half a century ago, automatic reading systems have evolved substantially, thereby showing impressive performance on machine-printed text. The recognition of handwriting can, however, still be considered an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, so far, no standard procedures for building Markov-model-based recognizers could be established though trends toward unified approaches can be identified. Markov Models for Handwriting Recognition provides a comprehensive overview of the application of Markov models in the research field of handwriting recognition, covering both the widely used hidden Markov models and the less complex Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text gives a thorough review of the solutions proposed in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.

Mathematical statistics --- patroonherkenning --- factoranalyse

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Computer. Automation --- patroonherkenning --- informatica

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Updated and expanded with nine additional chapters, Movement Disorder Emergencies: Diagnosis and Treatment, Second Edition is an indispensable resource for general neurologists, specialists, fellows, and residents eager to improve their approach toward the patient with a movement disorder emergency. In this comprehensive second edition, prominent neurologists from around the world logically and systematically review the major movement disorder emergencies, instructing the reader on how optimally to recognize and manage these problems. The authors cover a broad range of disorders, including acute dystonic reactions, neuroleptic malignant syndrome, startle syndromes, tic emergencies, and others; and they stress the importance of certain obvious diagnoses such as Wilson's disease, dopa-responsive dystonia, and Whipple's disease, in which delayed diagnosis in less emergent situations can lead to slowly evolving and often irreversible neurologic damage with tragic consequences. In addition, nine topics not covered in the first edition are provided, including genetic counseling and testing crises, suicide risk, psychogenic movement disorders, and others. Patient vignettes at the beginning of each chapter focus the reader's attention and highlight the urgency of the problem. Since astute clinical diagnosis of many movement disorders is still largely dependent on visual pattern recognition in the clinic, an accompanying online collection of physician-patient vignettes illustrates virtually all of the movement disorders described in the text. Importantly, the authors also discuss a range of new treatment paradigms that have emerged since publication of the first edition, especially deep brain stimulation. Authoritative and a leading text in the field, Movement Disorder Emergencies: Diagnosis and Treatment, Second Edition is an established, practical reference that continues to achieve excellence in the field of diagnosis and management of movement disorder emergencies.

Neuropathology --- patroonherkenning --- hersenen

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The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

Mathematical statistics --- patroonherkenning --- factoranalyse

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The accurate and precise estimation of three-dimensional motion vector fields in real time remains one of the key targets for the discipline of computer vision. This important text/reference presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, covering topics from variational methods and optic flow estimation, to adaptive regularization and scene flow analysis. This in-depth discussion culminates in the development of a novel, accurate and robust scene flow method for the higher-level challenges posed by real-world applications. Topics and features: Reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms Investigates the use of residual images for optical flow Examines methods for deriving motion from stereo image sequences Analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity Introduces a framework for scene flow-based moving object detection and segmentation, and discusses the application of Kalman filters for propagating scene flow estimation over time Includes pseudo code for all important computational challenges Contains Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary and Index A valuable reference for researchers and graduate students on segmentation, optical flow and scene flow, this unique book will also be of great interest to professionals involved in the development of driver assistance systems.

Mathematical statistics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse