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Reproducible Research in Pattern Recognition

reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research;

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Reproducible Research in Pattern Recognition

in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers;

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Perspectives on Pattern Recognition

, based on the extracted features. This book presents topical research in the study of pattern recognition, including pattern recognition;

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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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Pattern Recognition in Biology

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses;

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Pattern Recognition in Nanoscience, Environmental Engineering & Archeology

This book presents new and important research on pattern recognition -- the research area that studies the operation and design of systems;

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Advances In Pattern Recognition And Applications

These proceedings present the state of the art in Spanish research on pattern recognition, image processing, speech recognition, and;

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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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Evolutionary Synthesis of Pattern Recognition Systems

Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals;

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Pattern Recognition

Pattern recognition studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like;

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Pattern Recognition and Signal Processing in Archaeometry

research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine;

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Pattern Recognition Applications and Methods

submissions and describe up-to-date applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental;

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Pattern Recognition Applications and Methods

describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or;

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Pattern Recognition: Applications and Methods

145 submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition;

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Pattern Recognition Applications and Methods

. The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and;

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Pattern Recognition Applications in Engineering

its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern;

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Graph-Based Representations in Pattern Recognition

carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern;

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

research results in the areas of pattern recognition, image processing, computer vision, multimedia and related fields.;

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Pattern Recognition Applications and Methods

-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Wavelet Theory Approach To Pattern Recognition (2nd Edition)

The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters;

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Internet-Scale Pattern Recognition

recognition using machine intelligence. Based on the authors' research from the past 10 years, the text draws on concepts from pattern;

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Internet-Scale Pattern Recognition

recognition using machine intelligence. Based on the authors' research from the past 10 years, the text draws on concepts from pattern;

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Advances In Pattern Recognition - Proceedings Of The 6th International Conference

This volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition;

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