Найти книгу: "Handbook of Pattern Recognition and Computer Vision"

Written by world-renowned authors, this unique compendium presents the most updated progress in pattern recognition and computer vision (PRCV), fully reflecting the strong international research interests in the artificial intelligence arena. Machine learning has been the key to current developments in PRCV. This useful comprehensive volume complements the previous five editions of the book. It places great emphasis on the use of deep learning in many aspects of PRCV applications, not readily available in other reference text. Contents: Theory, Technology and Systems: A Brief Introduction to Part 1 (C H Chen) Optimal Statistical Classification (Edward R Dougherty, Jr and Lori Dalton) Deep Discriminative Feature Learning Method for Object Recognition (Weiwei Shi and Yihong Gong) Deep Learning Based Background Subtraction: A Systematic Survey (Jhony H Giraldo, Huu Ton Le, and Thierry Bouwmans) Similarity Domains Network for Modeling Shapes and Extracting Skeletons without Large Datasets (Sedat Ozer) On Curvelet-Based Texture Features for Pattern Classification (Reprinted from Chapter 1.7 of 5th HBPRCV) (Ching-Chung Li and Wen-Chyi Lin) An Overview of Efficient Deep Learning on Embedded Systems (Xianju Wang) Random Forest for Dissimilarity-Based Multi-View Learning (Simon Bernard, Hongliu Cao, Robert Sabourin, and Laurent Heutte) A Review of Image Colourisation (Bo Li, Yu-Kun Lai, and Paul L Rosin) Recent Progress of Deep learning for Speech Recognition (Jinyu Li and Dong Yu) Applications: A Brief Introduction to Part 2 (C H Chen) Machine Learning in Remote Sensing (Ronny Hänsch) Hyperspectral and Spatially Adaptive Unmixing for Analytical Reconstruction of Fraction Surfaces from Data with Corrupt Pixels (Fadi Kizel and Jon Atli Benediktsson) Image Processing for Sea Ice Parameter Identification from Visual Images (Qin Zhang) Applications of Deep Learning to Brain Segmentation and Labeling of MRI Brain Structures (Evan Fletcher and Alexander Knaack) Automatic Segmentation of IVUS Images Based on Temporal Texture Analysis (A Gangidi and C H Chen) Deep Learning for Historical Document Analysis (Foteini Simistira Liwicki and Marcus Liwicki) Signature Verification via Graph-Based Methods (Paul Maergner, Kaspar Riesen, Rolf Ingold, and Andreas Fischer) Cellular Neural Network for Seismic Pattern Recognition (Kou-Yuan Huang and Wen-Hsuan Hsieh) Incorporating Facial Attributes in Cross-modal Face Verification and Synthesis (Hadi Kazemi, Seyed Mehdi Iranmanesh, and Nasser M Nasrabadi) Connected and Autonomous Vehicles in the Deep Learning Era: A Case Study on Computer-Guided Steering (Rodolfo Valientea, Mahdi Zamana, Yaser P Fallaha, and Sedat Ozer) Readership: Graduate students, academics, practitioners, researchers, computer scientists, electrical and medical engineers.Deep Learning;Statistical Pattern Recognition;Random Forest Classification;Machine Learning;Image Colorization;Document Analysis;Seismic Recognition;Face Recognition;Remote Sensing;Medical Imaging00

Other enhancements and options that have been added and that you can find in this book are related to subjects such as the following: Availability is increased, and there are now further options for distributing the system, along with new powerful platforms. ? There is a new change and transport system, including all the facilities of the Transport Management System (TMS). ? In the ABAP workbench, there are a host of new utilities, a stepforward object?oriented ABAP, the replacement of matchcodes with search helps, and more. ? Windows NT is now a very popular platform with thousands of customers. For this reason, this new edition is operating system independent, dealing with both UNIX and Windows NT where appropriate. ? ? The authorization system and administrator duties have been facilitated with the profile generator. ? Since release 4.0 there is a new object?based monitoring architecture and alert monitors. ? The well?known OSS has now become SAPnet, with two variants: R/3 front end and Web front end. In this edition you will find lots of new things to discover and enjoy. I hope you enjoy this book and enjoySAP.

Oxford Handbook of Commercial Correspondence - это справочник по всем аспектам деловой переписки на английском языке. Справочник неоднократно переиздавался. Существует также сборник упражнений по деловому письму, который можно приобрести отдельно. Его название - Oxford Correspondence Workbook.

ComputerBild предназначен для читателей, которые интересуются компьютерами, интернетом, аудио-, видео-, фототехникой. Основная особенность журнала СomputerBild то, что он предлагает информацию в новом для российского рынка формате.

Русское издание ComputerBild предназначено для читателей, которые интересуются компьютерами, интернетом, аудио-, видео-, фототехникой. Основная особенность журнала СomputerBild заключается в том, что он предлагает информацию в новом для российского рынка формате.