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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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Hyperspectral Image Analysis

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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Hyperspectral Data Processing

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and;

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Signal and Image Processing for Remote Sensing

of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification;

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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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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Methodologies

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Image Analysis and Recognition

; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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Advances in Independent Component Analysis and Learning Machines

of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning

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Image and Signal Processing

contributions are grouped into the following topical sections: multihyperspectral imaging; image itering and coding; signal processing; biometric;

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Signals and Images

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines;

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Signals and Images

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines;

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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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Recent Trends in Image Processing and Pattern Recognition

science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and;

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Recent Trends in Image Processing and Pattern Recognition

science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and;

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Applied Signal and Image Processing

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image;

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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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Pattern Recognition and Image Analysis

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

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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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Hyperspectral Imaging Analysis and Applications for Food Quality

remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications;

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Signal and Image Processing for Remote Sensing

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;

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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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Communication, Signal Processing & Information Technology

Signal Processing, Multiresolution Analysis, Wavelets, Smart Antennas, Adaptive Antennas, Theory and Practice of Signal Processing, Digital;

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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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