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The sixteen chapters included in this book were written by invited experts of international recognition and address important issues;
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, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip;
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An automatic classification system is presented, which discriminates the different types of single- layered clouds using Principal;
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in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval;
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processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern;
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, computer vision and applications, image segmentation and classification, video surveillance, biomedical image processing and analysis, object and;
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This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also;
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recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning;
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, image processing concepts, concept of feature extraction and feature selection for pattern classificationrecognition, and advanced concepts;
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, image processing concepts, concept of feature extraction and feature selection for pattern classificationrecognition, and advanced concepts;
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Medical image technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using;
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The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR;
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The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR;
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imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition;
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classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms;
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language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural;
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sections on biomedical image processing and analysis; classification and detection; computational photography; image and video processing; machine;
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advanced image processing tasks Perform image classification, object detection, and face recognition Apply image segmentation and registration;
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The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP;
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enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn;
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This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR;
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following topics: image analysis and representation; image segmentation; pattern analysis and classification; forensics, security and document;
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applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading;
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applications in pattern recognition by adopting a hands-on approach using program implementations. The book covers the tools and techniques for reading;
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applied for classificationrecognition and clustering problems regardless the type of input data: images or text. In brief, the book offers;
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image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM;
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