Beginner`s Guide to Image Shape Feature Extraction Techniques, Chaki, Jyotismita (Vellore Inst. of Technology, Vellore, India) Dey, Nilanjan
Автор: K. Kamalanand, B. Thayumanavan, P. Mannar Jawahar Название: Computational Techniques for Dental Image Analysis ISBN: 1522562435 ISBN-13(EAN): 9781522562436 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 236010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries.Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
Автор: Y-h. Taguchi Название: Unsupervised Feature Extraction Applied to Bioinformatics ISBN: 3030224554 ISBN-13(EAN): 9783030224554 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Поставка под заказ. Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Автор: Danilo Mandic; Martin Golz; Anthony Kuh; Dragan Ob Название: Signal Processing Techniques for Knowledge Extraction and Information Fusion ISBN: 1441944958 ISBN-13(EAN): 9781441944955 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion.
Most modo books and training videos are marketed by giving the beginner quick results on a project, but this tends to impart a "paint by numbers" knowledge of the software. This book represents a distillation of a number of modo books and tutorials, and describes a set of common basic operations which underlie many modo 3D graphics projects. Keeping in mind that 3D graphics software is NOT as intuitive as Microsoft Word or PowerPoint, just realizing how to carry out basic 3D graphic operations, and what parts of the screen relate to others in the process, is often half the challenge for the modo advanced beginner. If you're an advanced beginner (i.e., have some experience of the basics covered by most modo books), but find many tutorials time consuming to follow and replicate because the experts tend to take the more advanced basics for granted - the essentials laid out in this book have been written for you.
About the Author: Ken Freed is a software analyst/developer, and holds undergraduate degrees in Chemistry and Chemical Engineering along with a Masters Degree in Computer Science. With more than 30 years experience developing software for a wide variety of technical, manufacturing and commercial applications, he maintains that "explaining things" in a clear and concise manner and distilling out salient points is as important to project success as technical ability. His hobbies include a pursuit of German and Spanish foreign language competence - along with continually improving upon his digital art skills. More information about Ken can be found at his websites: www.kenfreedsoftware.com and at www.kenfreed1.com.
Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft Название: Feature Extraction ISBN: 366251771X ISBN-13(EAN): 9783662517710 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Автор: Puig Luis Название: Omnidirectional Vision Systems ISBN: 1447149467 ISBN-13(EAN): 9781447149460 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval.
Автор: Taguchi Y-H Название: Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach ISBN: 3030224589 ISBN-13(EAN): 9783030224585 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition.
Автор: Geoff Dougherty Название: Medical Image Processing ISBN: 1461430224 ISBN-13(EAN): 9781461430223 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines the conceptual framework of image analysis and the effective use of image processing tools, using applications in many fields to demonstrate and consolidate specific and general concepts, and to build intuition, insight and understanding.
Автор: Andr? Gagalowicz; Wilfried Philips Название: Computer Vision/Computer Graphics Collaboration Techniques ISBN: 3642018106 ISBN-13(EAN): 9783642018107 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 4th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2009, held in Rocquencourt, France, in May 2009.
Автор: Wilhelm Burger; Mark James Burge Название: Principles of Digital Image Processing ISBN: 1848001908 ISBN-13(EAN): 9781848001909 Издательство: Springer Рейтинг: Цена: 35390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.
Автор: Jia He; Chang-Su Kim; C.-C. Jay Kuo Название: Interactive Segmentation Techniques ISBN: 9814451592 ISBN-13(EAN): 9789814451598 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection.
Автор: Armin Gruen; E.P. Baltsavias; O. Henricsson Название: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) ISBN: 3034898223 ISBN-13(EAN): 9783034898225 Издательство: Springer Рейтинг: Цена: 125730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
