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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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Graphs for Pattern Recognition

solutions act as building blocks of geometric decision rules for pattern recognition. Infeasible systems of linear inequalities prove to be a key;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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Graph-Based Representations in Pattern Recognition

recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational;

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Dissimilarity Representation For Pattern Recognition, The

authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.;

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Perspectives on Pattern Recognition

for real time applications and quantitative bioimage analysis using pattern recognition.;

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Pattern Recognition In Computati

discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and;

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Pattern Recognition

Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances;

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Image Analysis and Processing -- ICIAP 2009

processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern;

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Progress in Pattern Recognition, Image Analysis and Applications

scientists to promote and disseminate ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Pattern Classification

Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Genetic Algorithms for Pattern Recognition

presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.;

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Textbook on Pattern Recognition

is clearly presented and illustrated by many examples and applications and is designed for use as a text for course in pattern recognition for both;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

combining the flexibility of edit distance-based graph matching with the power of kernel machines for pattern recognition. The authors introduce a;

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Pattern Recognition

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition;

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Introduction to Statistical Pattern Recognition

of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Pattern Recognition and Signal Processing in Archaeometry

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;

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Combinatorial Pattern Matching

compression and data mining; coding; information retrieval; natural language processing; and pattern recognition.;

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Pattern Recognition on Oriented Matroids

, and number theory that constitute a far-reaching extension of the arsenal of committee methods in pattern recognition. The groundwork for the;

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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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