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Advances in Machine Learning and Signal Processing

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range;

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Digital Signal Processing with Kernel Methods

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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Cooperative and Graph Signal Processing

latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control;

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Signal Processing and Machine Learning with Applications

their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and;

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Financial Signal Processing and Machine Learning

market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and;

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Signal Processing and Machine Learning for Biomedical Big Data

alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Advances in Independent Component Analysis and Learning Machines

theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining.

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Signal Processing in Medicine and Biology

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical;

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Intelligent Computing Theories and Application

, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language;

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Intelligent Computing Theories and Application

, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language;

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Intelligent Computing Methodologies

, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language;

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Machine Learning and Information Processing

, deep learning, image processing and pattern recognition, and signal and speech processing.;

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Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing

, advances in speech and language processing, recent advances in information hiding and signal processing for audio and speech signals, intelligent;

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Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing

, advances in speech and language processing, recent advances in information hiding and signal processing for audio and speech signals, intelligent;

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Recent Trends in Image and Signal Processing in Computer Vision

This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing;

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Machine Learning and Information Processing

, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.;

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Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing

analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning;

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Pattern Recognition and Image Analysis

. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Nanoelectronics Circuits and Communication Systems

, Internet of things, cloud computing, computing systems, wireless communication systems, advances in communication 5G and beyond. Further, it;

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