Bayesian Modeling of Uncertainty in Low-Level Vision, Richard Szeliski
Автор: Osher Stanley, Paragios Nikos Название: Geometric Level Set Methods in Imaging, Vision, and Graphics ISBN: 0387954880 ISBN-13(EAN): 9780387954882 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topic of level sets is currently very timely and useful for creating realistic 3-D images and animations. They are powerful numerical techniques for analyzing and computing interface motion in a host of application settings. In computer vision, it has been applied to stereo and segmentation, whereas in graphics it has been applied to the postproduction process of in-painting and 3-D model construction.Osher is co-inventor of the Level Set Methods, a pioneering framework introduced jointly with James Sethian from the University of Berkeley in 1998. This methodology has been used up to now to provide solutions to a wide application range not limited to image processing, computer vision, robotics, fluid mechanics, crystallography, lithography, and computer graphics.The topic is of great interest to advanced students, professors, and R&D professionals working in the areas of graphics (post-production), video-based surveillance, visual inspection, augmented reality, document image processing, and medical image processing. These techniques are already employed to provide solutions and products in the industry (Cognitech, Siemens, Philips, Focus Imaging). An essential compilation of survey chapters from the leading researchers in the field, emphasizing the applications of the methods. This book can be suitable for a short professional course related with the processing of visual information.
Автор: Octavian Iordache Название: Modeling Multi-Level Systems ISBN: 364242368X ISBN-13(EAN): 9783642423680 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers broad coverage of a challenging new domain for engineers, researchers and entrepreneurs who are negotiating the transition from learning and adaptability to evolvability and autonomy for technologies, devices and problem-solving methods.
Автор: Richard Szeliski Название: Bayesian Modeling of Uncertainty in Low-Level Vision ISBN: 0792390393 ISBN-13(EAN): 9780792390398 Издательство: Springer Рейтинг: Цена: 20956.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model.
Автор: Vladik Kreinovich Название: Uncertainty Modeling ISBN: 3319510517 ISBN-13(EAN): 9783319510514 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.
Автор: Roy S. Smith; Mohammed Dahleh Название: The Modeling of Uncertainty in Control Systems ISBN: 3540198709 ISBN-13(EAN): 9783540198703 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field.
Автор: Cher Ming Tan; Feifei He Название: Electromigration Modeling at Circuit Layout Level ISBN: 9814451207 ISBN-13(EAN): 9789814451208 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integrated circuit (IC) reliability is of increasing concern in present-day IC technology where the interconnect failures significantly increases the failure rate for ICs with decreasing interconnect dimension and increasing number of interconnect levels.
Автор: Wladyslaw Grabinski; Bart Nauwelaers; Dominique Sc Название: Transistor Level Modeling for Analog/RF IC Design ISBN: 9048171482 ISBN-13(EAN): 9789048171484 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The editors and authors present a wealth of knowledge regarding the most relevant aspects in the field of MOS transistor modeling. The book can be recommended to everyone who is involved in compact model developments, numerical TCAD modeling, parameter extraction, space-level simulation or model standardization.
Автор: Asli Celikyilmaz; I. Burhan T?rksen Название: Modeling Uncertainty with Fuzzy Logic ISBN: 3642100635 ISBN-13(EAN): 9783642100635 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.
Описание: Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases.- BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases.- LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.- Landmark-based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images.- Inferring Disease Status by non-Parametric Probabilistic Embedding.- A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images.- Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study.- Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker.- Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.- Automatic Detection of Histological Artifacts in Mouse Brain Slice Images.- Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.- Representation Learning for Cross-Modality Classification.- Guideline-based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound.- A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.- Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data.- Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields.- Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI data.- Non-local Graph-based Regularization for Deformable Image Registration.- Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation.
Автор: Jes?s Ruiz-Amaya; Manuel Delgado-Restituto; ?ngel Название: Device-Level Modeling and Synthesis of High-Performance Pipeline ADCs ISBN: 1489993185 ISBN-13(EAN): 9781489993182 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The models and procedures for designing pipeline analog-to-digital converters presented here compensate for device inaccuracies, enabling high-performance specifications which can be met within brief design cycles with significantly fewer model iterations.
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