Image analysis.
Overview
| Works: | 60 works in 30 publications in 30 languages | |
|---|---|---|
Titles
Machine learning for audio, image and video analysis = theory and applications /
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Image to Interpretation = An Intelligent System to Aid Historians in Reading the Vindolanda Texts
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From Gestalt Theory to Image Analysis = A Probabilistic Approach /
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Bio-inspired hybrid intelligent systems for image analysis and pattern recognition
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Applied signal and image processing = multidisciplinary advancements /
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Biomedical image analysis and machine learning technologies = applications and techniques /
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Multimedia information extraction and digital heritage preservation
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Machine learning in computer-aided diagnosis = medical imaging intelligence and analysis /
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Machine learning for human motion analysis = theory and practice /
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OpenCV 2 computer vision application programming cookbook : = over 50 recipes to master this library of programming functions for real-time computer vision /
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Image analysis in Earth sciences = microstructures and textures of Earth materials /
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Interactive segmentation techniques = algorithms and performance evaluation /
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Video surveillance for sensor platforms = algorithms and architectures /
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Computational modeling of objects presented in images = fundamentals, methods and applications /
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OpenCV computer vision application programming cookbook : = over 50 recipes to help you build computer vision applications in C++ using the OpenCV library /
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Computational proximity = excursions in the topology of digital images /
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New approaches in intelligent image analysis = techniques, methodologies and applications /
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構建基於PC的圖像檢測系統使用KNN最近鄰居法檢測血蛋 = = Building a PC-Based Image Inspection System to detect the Blood Eggs with the K-Nearest Neighbor Algorithm /
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Digital image processing and analysis : = applications with MATLAB® and CVIPtools /
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Document image analysis = current trends and challenges in graphics recognition /
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Hybrid intelligent techniques for pattern analysis and understanding /
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Handbook of research on disease prediction through data analytics and machine learning
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Handwritten historical document analysis, recognition, and retrieval = state of the art and future trends /
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