Pattern recognition systems.
概要
| 作品: | 156 作品在 64 項出版品 64 種語言 | |
|---|---|---|
書目資訊
Supervised and unsupervised pattern recognition : = feature extraction and computational intelligence /
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Geometric data analysis : = an empirical approach to dimensionality reduction and the study of patterns /
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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing = An Evolutionary Approach for Neural Networks and Fuzzy Systems /
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Traffic monitoring and analysis = first international workshop, TMA 2009, Aachen, Germany, May 11, 2009 ; proceedings /
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An introduction to object recognition = selected algorithms for a wide variety of applications /
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Multimedia interaction and intelligent user interfaces = principles, methods and applications /
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Terahertz imaging for biomedical applications = pattern recognition and tomographic reconstruction /
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Pattern recognition and signal processing in archaeometry = mathematical and computational solutions for archaeology /
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New methods of source reconstruction for magnetoencephalography : = combination of pattern recognition & medical imaging /
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Scalable pattern recognition algorithms = applications in computational biology and bioinformatics /
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Electrocardiogram signal classification and machine learning = emerging research and opportunities /
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Hierarchical perceptual grouping for object recognition = theoretical views and gestalt-law applications /
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Text segmentation and recognition for enhanced image spam detection = an integrated approach /
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Genetic programming for image classification = an automated approach to feature learning /
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Centrality and diversity in search = roles in A.I., machine learning, social networks, and pattern recognition /
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Vision models for high dynamic range and wide colour gamut imaging = techniques and applications /
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Handbook of research on machine learning techniques for pattern recognition and information security
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Introduction to pattern recognition : = statistical, structural, neural, and fuzzy logic approaches /
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Pattern recognition using neural networks : = theory and algorithms for engineers and scientists /
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Introduction to pattern recognition = statistical, structural, neural, and fuzzy logic approaches /
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Cross-disciplinary applications of artificial intelligence and pattern recognition = advancing technologies /
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Multidimensional particle swarm optimization for machine learning and pattern recognition
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Structural pattern recognition with graph edit distance = approximation algorithms and applications /
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Handbook of research on emerging perspectives in intelligent pattern recognition, analysis, and image processing
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Pattern recognition in computational molecular biology : = techniques and approaches /
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MatConvNet deep learning and iOS mobile app design for pattern recognition : = emerging research and opportunities /
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Computer vision using deep learning = neural network architectures with Python and Keras /
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