Image Analysis and Processing -- ICIAP 2009

Image Analysis and Processing -- ICIAP 2009
Title Image Analysis and Processing -- ICIAP 2009 PDF eBook
Author Pasquale Foggia
Publisher Springer
Pages 1075
Release 2009-08-29
Genre Computers
ISBN 3642041469

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This book constitutes the refereed proceedings of the 15th International Conference on Image Analysis and Processing, ICIAP 2009, held in Vietri sul Mare, Italy, in September 2009. The 107 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 168 submissions. The papers are organized in topical sections on computer graphics and image processing, low and middle level processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern analysis and classification, learning, graphs and trees, applications, shape analysis, face analysis, medical imaging, and image analysis and pattern recognition.

Image Analysis and Processing -- ICIAP 2011

Image Analysis and Processing -- ICIAP 2011
Title Image Analysis and Processing -- ICIAP 2011 PDF eBook
Author Giuseppe Maino
Publisher Springer
Pages 520
Release 2011-09-15
Genre Computers
ISBN 3642240887

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The two-volume set LNCS 6978 + 6979 constitutes the proceedings of the 16th International Conference on Image Analysis and Processing, ICIAP 2011, held in Ravenna, Italy, in September 2011. The total of 121 papers presented was carefully reviewed and selected from 175 submissions. The papers are divided into 10 oral sessions, comprising 44 papers, and three post sessions, comprising 77 papers. They deal with the following topics: image analysis and representation; image segmentation; pattern analysis and classification;forensics, security and document analysis; video analysis and processing; biometry; shape analysis; low-level color image processing and its applications; medical imaging; image analysis and pattern recognition; image and video analysis and processing and its applications.

Image Analysis and Processing — ICIAP 2015

Image Analysis and Processing — ICIAP 2015
Title Image Analysis and Processing — ICIAP 2015 PDF eBook
Author Vittorio Murino
Publisher Springer
Pages 760
Release 2015-08-20
Genre Computers
ISBN 3319232347

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The two-volume set LNCS 9279 and 9280 constitutes the refereed proceedings of the 18th International Conference on Image Analysis and Processing, ICIAP 2015, held in Genoa, Italy, in September 2015. The 129 papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in the following seven topical sections: video analysis and understanding, multiview geometry and 3D computer vision, pattern recognition and machine learning, image analysis, detection and recognition, shape analysis and modeling, multimedia, and biomedical applications.

Progress in Image Analysis and Processing, ICIAP 2013

Progress in Image Analysis and Processing, ICIAP 2013
Title Progress in Image Analysis and Processing, ICIAP 2013 PDF eBook
Author Alfredo Petrosino
Publisher Springer
Pages 883
Release 2013-09-02
Genre Computers
ISBN 3642411819

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This two volume set (LNCS 8156 and 8157) constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The 162 papers presented were carefully reviewed and selected from 354 submissions. The papers aim at highlighting the connection and synergies of image processing and analysis with pattern recognition and machine learning, human computer systems, biomedical imaging and applications, multimedia interaction and processing, 3D computer vision, and understanding objects and scene.

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Title New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops PDF eBook
Author Vittorio Murino
Publisher Springer
Pages 616
Release 2015-08-20
Genre Computers
ISBN 3319232223

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This book constitutes the refereed proceedings of seven workshops held at the 18th International Conference on Image Analysis and Processing, ICIAP 2015, in Genoa, Italy, in September 2015: International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2015; International Workshop on Color in Texture and Material Recognition, CTMR 2015; International Workshop on Medical Imaging in Rheumatology: Advanced applications for the analysis of in ammation and damage in the rheumatoid Joint, RHEUMA 2015; International Workshop on Image-Based Smart City Application, ISCA 2015; International Workshop on Multimedia Assisted Dietary Management, MADiMa 2015; International Workshop on Scene Background Modeling and initialization, SBMI 2015; and International Workshop on Image and Video Processing for Quality of Multimedia Experience, QoEM 2015.

New Trends in Image Analysis and Processing, ICIAP 2013 Workshops

New Trends in Image Analysis and Processing, ICIAP 2013 Workshops
Title New Trends in Image Analysis and Processing, ICIAP 2013 Workshops PDF eBook
Author Alfredo Petrosino
Publisher Springer
Pages 584
Release 2013-09-03
Genre Computers
ISBN 3642411908

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This book constitutes the refereed proceedings of the workshops held with the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The proceedings include papers from the five individual workshops focusing on topics of interest to the pattern recognition, image analysis, and computer vision communities, exploring emergent research directions or spotlight cross-disciplinary links with related fields and / or application areas.

Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning
Title Python: Deeper Insights into Machine Learning PDF eBook
Author Sebastian Raschka
Publisher Packt Publishing Ltd
Pages 901
Release 2016-08-31
Genre Computers
ISBN 1787128547

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Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies. Develop a strategy to deal with a large amount of data. Use of Python code for implementing a range of machine learning algorithms and techniques. Who This Book Is For This title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts. What You Will Learn Learn to write clean and elegant Python code that will optimize the strength of your algorithms Uncover hidden patterns and structures in data with clustering Improve accuracy and consistency of results using powerful feature engineering techniques Gain practical and theoretical understanding of cutting-edge deep learning algorithms Solve unique tasks by building models Get grips on the machine learning design process In Detail Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. It is one of the fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project. The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems. The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it's time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems. At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering. Style and approach This course includes all the resources that will help you jump into the data science field with Python. The aim is to walk through the elements of Python covering powerful machine learning libraries. This course will explain important machine learning models in a step-by-step manner. Each topic is well explained with real-world applications with detailed guidance.Through this comprehensive guide, you will be able to explore machine learning techniques.