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Time-Frequency Based Feature Extraction and Classification

signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview;

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Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals

time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the;

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Brain Seizure Detection and Classification Using EEG Signals

performance feature extraction Discusses recent trends in seizure detection, prediction and classification methodologies Helps;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification;

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Feature Extraction Approaches for Optical Character Recognition

literature review and experimental results. An original classification system is described, which groups feature extraction methods depending on;

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Perspectives on Pattern Recognition

Pattern recognition involves tasks such as pattern identification, feature extraction from them and pattern classification in categories;

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Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and;

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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts;

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Computer Vision and Image Processing

, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts;

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Object-Based Image Analysis and Treaty Verification

, feature extraction, change detection, classification and interpretation are developed, applied and evaluated. The analysis chain is demonstrated;

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Deep Learning for Chest Radiographs

neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia;

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Biometric Recognition

; feature extraction and classification theory; and behavioral biometrics.;

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EEG-Based Diagnosis of Alzheimer Disease

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a;

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Feature Extraction and Image Processing for Computer Vision

extraction and description and image representation (including frequency domain and colour) Good balance between providing a mathematical;

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Time Series Clustering and Classification

developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification;

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Time Series Clustering and Classification

clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes;

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Supervised and Unsupervised Learning for Data Science

, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students;

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Condition Monitoring with Vibration Signals

various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also;

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EEG Signal Processing

relatively simple and inexpensive equipment, and is easier to use than other methods. EEG-based BCI methods provide modest speed;

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Content-Based Image Classification

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

of content based image retrieval Includes polygonal approximation techniques of shape features Details moment based, scale space and;

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Machine Learning for Protein Subcellular Localization Prediction

strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature;

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Breath Analysis for Medical Applications

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it;

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Remote Sensing of Natural Resources

processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy;

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Remote Sensing of Natural Resources

processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Biosignal Processing and Classification Using Computational Learning and Intelligence

Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an;

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