Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications (Studies in Big Data, 82)

✍ Scribed by Pardeep Kumar (editor), Amit Kumar Singh (editor)

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 349
Edition: 1st ed. 2021
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

📜 SIMILAR VOLUMES

Machine Learning for Intelligent Multime

📁 Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications (Studies in Big Data, 82)

✍ Pardeep Kumar (editor), Amit Kumar Singh (editor) 📂 Library 📅 2021 🏛 Springer 🌐 English

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 r

Machine Intelligence and Big Data Analyt

📁 Machine Intelligence and Big Data Analytics for Cybersecurity Applications

✍ Yassine Maleh, Mohammad Shojafar, Mamoun Alazab, Youssef Baddi 📂 Library 📅 2021 🏛 Springer 🌐 English

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detectin

Advanced Machine Learning Applications i

📁 Advanced Machine Learning Applications in Big Data Analytics

✍ Taiyong Li; Wu Deng; Jiang Wu 📂 Library 📅 2023 🏛 MDPI 🌐 English

With the development of computer technology and communication technology, various industries have collected a large amount of data in different forms, so-called big data. How to obtain valuable knowledge from these data is a very challenging task. Machine learning is such a direct and effective meth

Machine Learning and Big Data Analytics

📁 Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

✍ Aboul Ella Hassanien, Ashraf Darwish 📂 Library 📅 2021 🏛 Springer 🌐 English

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data

Data Analytics and Machine Learning: Nav

📁 Data Analytics and Machine Learning: Navigating the Big Data Landscape (Studies in Big Data, 145)

✍ Pushpa Singh (editor), Asha Rani Mishra (editor), Payal Garg (editor) 📂 Library 📅 2024 🏛 Springer 🌐 English

This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practica

Data Analytics and Machine Learning: Nav

📁 Data Analytics and Machine Learning: Navigating the Big Data Landscape (Studies in Big Data, 145)

✍ Pushpa Singh (editor), Asha Rani Mishra (editor), Payal Garg (editor) 📂 Library 📅 2024 🏛 Springer 🌐 English