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Laplace Spectra for Shape Recognition

Laplace Spectra for Shape Recognition is een boek van Martin Reuter;

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Spectra of Graphs

This book gives an elementary treatment of the basic material about graph spectra, both for ordinary, and Laplace and Seidel spectra. The;

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Geometry and Spectra of Compact Riemann Surfaces

eigenvalue spectra. It focuses on two subjects: the geometric theory of compact Riemann surfaces of genus greater than one, and the relationship;

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Interpreting Organic Spectra

, approaching the topic as an exercise in pattern recognition. Hence the main focus of the book is in the provision of a variety of spectra for the;

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Time Series with Mixed Spectra

with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed;

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Time Series with Mixed Spectra

with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed;

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Introductory Laplace Transform with Applications

transform an indispensable mathematical tool for engineers and scientists. The method of Laplace transform for solving linear differential equations;

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Introductory Mass Spectrometry

recognition of those patterns, discussing mass spectra in terms that are familiar to chemists. It provides a basis for chemists to interpret mass;

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Introductory Mass Spectrometry

recognition of those patterns, discussing mass spectra in terms that are familiar to chemists. It provides a basis for chemists to interpret mass;

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Interpretation of Organic Spectra

introduce knowledge for analyzing nuclear magnetic resonance spectra including 1 H spectra (Chapter 1), 13 C spectra (Chapter 2) and 2D NMR;

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Hand-Based Biometrics

palm vein patterns. This book explores the range of technologies and methods under development and in use for hand-based biometrics, with;

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Practical Guide and Spectral Atlas for Interpretive Near-Infrared Spectroscopy

interpret NIR spectra for research and industrial applications, this book: Offers more than 300 figures representing all the major functional groups;

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Ethiopian face Recognition System Across Ages

Face recognition is one of the most attractive research area in the field of pattern recognition and computer vision due to its interesting;

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Shape Analysis and Classification

just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested;

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Handbook of Vascular Biometrics

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric;

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Handbook of Vascular Biometrics

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric;

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Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis

geometric or topological features from them can simplify the way objects are looked at, help with their recognition, and facilitate description and;

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

networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.;

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3D Shape Analysis - Fundamentals, Theory, and Applications

feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D;

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Human Emotion Recognition from Face Images

using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and;

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Human Emotion Recognition from Face Images

using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and;

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Computer Vision And Shape Recognition

parallel processing, shape recognition and features, computational methods in vision, and three dimensional vision and application.;

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A Beginner's Guide to Image Shape Feature Extraction Techniques

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification;

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Pierre-Simon Laplace Philosophical Essay on Probabilities

Pierre-Simon Laplace (1749-1827) is remembered amoung probabilitists today particularly for his Theorie analytique des probabilites;

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Interpretation Of Mass Spectra

of learning how to interpret unknown mass spectra is to practise doing it. Prof. McLafferty's text has become a classic for classroom or self study;

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Skeletonization

in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition;

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