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The Course of Recognition

Recognition, though it figures profoundly in our understanding of objects and persons, identity and ideas, has never before been the;

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The Course Of Recognition

Recognition, though it figures profoundly in our understanding of objects and persons, identity and ideas, has never before been the;

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Textbook on Pattern Recognition

Recognition Algorithms have been presented in step by step in illustration of the same in problems. Probability distribution function with Cumulative;

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The Origins of English Revenge Tragedy

Charting a new course between performance studies and literary criticism, this book explores how recognition of the dramatic person;

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Introduction To Pattern Recognition

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields;

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Pattern Recognition and Image Processing

imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition;

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Core Statutes on Conflict of Laws

Well-selected and authoritative, Palgrave Core Statutes provide the key materials needed by students in a format that is clear, compact and;

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Image Processing

in computer vision. The updated version presents new sections on compression via JPEG and MPEG, fractals, fuzzy logic recognition, hidden Markov;

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Essentials of Pattern Recognition

that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a;

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Pattern Recognition and Machine Vision

In recent years, there has been a growing interest in the fields of pattern recognition and machine vision in academia and industries. New;

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Deep Learning

solve predictive modelling problems using the most popular machine learning Java libraries. * Explore a broad variety of data processing;

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Pattern Recognition Using Neural Networks

Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks;

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A Second Course in Formal Languages and Automata Theory

treats topics in the theory of computation not usually covered in a first course. After a review of basic concepts, the book covers combinatorics;

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The Rwenzururu Movement in Uganda: Struggling for Recognition

transformations, and in the end came to demand recognition of Rwenzururu's claimed semi-traditional kingship within Uganda. Martin Doornbos;

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Basics of Molecular Recognition

biological functions. Based on the author's longtime courses, the book helps readers understand the structural aspects of macromolecular recognition;

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Matrix Methods in Data Mining and Pattern Recognition

mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how;

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The Past Present and Future of HLA Techniques

Book deals with various techniques for typing human leukocyte antigens. As HLA plays an important role in intracellular recognition and;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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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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Making Teaching and Learning Visible

With higher education's refocus over the last three decades on bringing greater recognition and reward to good teaching, the idea of peer;

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Face Recognition

approach with criminological applications. The book covers * The methodological and philosophical basis of research in face recognition;

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Optical Character Recognition

course work in the subject. Key features of Optical Character Recognition: Theoretical framework based on functional analysis--not previously;

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Moments and Moment Invariants in Pattern Recognition

, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.;

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Recognition of Foreign Judgments

The prevalence of the rules and practices on the recognition and enforcement of foreign judgments gradually blurs the dividing line between;

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Next Generation Course Redesign

There is widespread recognition that large enrollment introductory classes are a significant problem. Lack of engagement, incongruous;

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