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Pattern Classification

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience;

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Data Complexity in Pattern Recognition

algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations;

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Data Complexity in Pattern Recognition

algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations;

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Computational Intelligence Paradigms in Advanced Pattern Classification

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting;

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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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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern;

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Atlas of Craniopharyngioma

classification method can better reflect the different origin and growth pattern of craniopharyngioma,the relationship between tumors and surrounding;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;

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Progress in Pattern Recognition Image Analysis Computer Vision and Applicatio

in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval;

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Computer Manual in MATLAB to accompany Pattern Classification

Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern;

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Structural, Syntactic, and Statistical Pattern Recognition

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition;

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Structural, Syntactic, and Statistical Pattern Recognition

from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural;

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Computer Recognition Systems 2

of pattern recognition. The contributions cover all topics in pattern recognition including, for example, classification and interpretation of text;

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Pattern Recognition

This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in Basel, Switzerland;

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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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Random Graphs for Statistical Pattern Recognition

resource presents: a detailed look at the application of random graphs to pattern recognition; extensive examples of applications of the graphs;

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Image Processing and Pattern Recognition

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech;

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Machine Learning and Data Mining in Pattern Recognition

from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific;

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Machine Learning and Data Mining in Pattern Recognition

submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to;

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Machine Learning and Data Mining in Pattern Recognition

169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data;

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Machine Learning and Data Mining in Pattern Recognition

. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods;

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Computational Intelligence for Pattern Recognition

classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The;

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Pocket Guide to ICD-10 Classification of Mental and Behavioural Disorders

of diagnosis in psychiatry is based on the patient's clinical history and observed behaviour pattern. At present there are two classification systems;

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Machine Learning Paradigms

Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems;

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Image and Video Technology

, computer vision and applications, image segmentation and classification, video surveillance, biomedical image processing and analysis, object and;

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