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Dissimilarity Representation For Pattern Recognition, The

instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches;

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Graph Classification And Clustering Based On Vector Space Embedding

volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an;

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Similarity-Based Pattern Recognition

This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held;

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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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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Pattern Recognition and Image Analysis

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019;

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Pattern Recognition and Image Analysis

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Introduction To Pattern Recognition And Machine Learning

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides;

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Deterministic Learning Theory for Identification, Recognition, and Control

learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic;

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Deterministic Learning Theory for Identification, Recognition, and Control

learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A;

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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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Fuzzy C-means Clustering using Pattern Recognition

The objective of this book is to talk about the usage of Fuzzy Logic in Pattern Recognition. There are different fuzzy approaches to;

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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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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

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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Progress in Pattern Recognition, Image Analysis and Applications

Iberoamerican Congress on Pattern Recognition was organized by the Cuban Association for Pattern Recognition (ACRP) and sponsored by the Institute;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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Internet-Scale Pattern Recognition

of pattern recognition, addressing issues with existing pattern recognition schemes for Internet-scale data deployment. The authors review numerous;

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Internet-Scale Pattern Recognition

of pattern recognition, addressing issues with existing pattern recognition schemes for Internet-scale data deployment. The authors review numerous;

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Genetic Algorithms for Pattern Recognition

Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern;

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Genetic Algorithms for Pattern Recognition

Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern;

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Chemometrics for Pattern Recognition

Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the;

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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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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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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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