Home eBooks Download › machine learning techniques for multimedia

Machine Learning Techniques For Multimedia

Download Machine Learning Techniques For Multimedia PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Techniques For Multimedia book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Machine Learning Techniques For Multimedia

DOWNLOAD
Author : Matthieu Cord
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-07

Machine Learning Techniques For Multimedia written by Matthieu Cord and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Computers categories.

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music. This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.

Machine Learning For Intelligent Multimedia Analytics

DOWNLOAD
Author : Pardeep Kumar
language : en
Publisher: Springer
Release Date : 2022-01-17

Machine Learning For Intelligent Multimedia Analytics written by Pardeep Kumar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Technology & Engineering categories.

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.

Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives

DOWNLOAD
Author : Wei, Chia-Hung
language : en
Publisher: IGI Global
Release Date : 2010-10-31

Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives written by Wei, Chia-Hung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.

"This book disseminates current information on multimedia retrieval, advancing the field of multimedia databases, and educating the multimedia database community on machine learning techniques for adaptive multimedia retrieval research, design and applications"--Provided by publisher.

Machine Learning For Multimedia Content Analysis

DOWNLOAD
Author : Yihong Gong
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-26

Machine Learning For Multimedia Content Analysis written by Yihong Gong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-26 with Computers categories.

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

Machine Learning For Intelligent Multimedia Analytics

DOWNLOAD
Author : Pardeep Kumar
language : en
Publisher: Springer Nature
Release Date : 2021-01-16

Machine Learning For Intelligent Multimedia Analytics written by Pardeep Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-16 with Technology & Engineering categories.

Deep Learning For Multimedia Forensics

DOWNLOAD
Author : Irene Amerini
language : en
Publisher:
Release Date : 2021-08-31

Deep Learning For Multimedia Forensics written by Irene Amerini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Computers categories.

In this survey, the latest trends and deep-learning-based techniques for multimedia forensics are introduced, in both architectural and data-processing. The publication is intended for researchers, students and professionals active in the fields of Deep Learning and Multimedia Forensics.

Deep Learning Techniques And Optimization Strategies In Big Data Analytics

DOWNLOAD
Author : Thomas, J. Joshua
language : en
Publisher: IGI Global
Release Date : 2019-11-29

Deep Learning Techniques And Optimization Strategies In Big Data Analytics written by Thomas, J. Joshua and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Ensemble Machine Learning

DOWNLOAD
Author : Cha Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-17

Ensemble Machine Learning written by Cha Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-17 with Computers categories.

It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.

Evolutionary Machine Learning Techniques

DOWNLOAD
Author : Seyedali Mirjalili
language : en
Publisher: Springer Nature
Release Date : 2019-11-11

Evolutionary Machine Learning Techniques written by Seyedali Mirjalili and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Technology & Engineering categories.

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.

Machine Learning Techniques For Adaptive Multimedia Retrieval

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2010

Machine Learning Techniques For Adaptive Multimedia Retrieval written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Automatic indexing categories.

Machine Learning Techniques For Multimedia

Recent Posts