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Reliable Face Recognition Methods, Harry Wechsler


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Цена: 16769.00р.
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Автор: Harry Wechsler
Название:  Reliable Face Recognition Methods
ISBN: 9781441935489
Издательство: Springer
Классификация:






ISBN-10: 1441935487
Обложка/Формат: Paperback
Страницы: 329
Вес: 0.62 кг.
Дата издания: 18.10.2010
Язык: English
Размер: 252 x 178 x 25
Основная тема: Computer Science
Подзаголовок: System Design, Implementation and Evaluation
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book addresses the face recognition problem while gaining new insights from complementary fields. It examines the evolution of face-recognition systems and explores new directions. The book has a well-focused approach and provides an excellent reference work.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Matrix Methods in Data Mining and Pattern Recognition

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

Subspace Methods for Pattern Recognition in Intelligent Environment

Автор: Yen-Wei Chen; Lakhmi C. Jain
Название: Subspace Methods for Pattern Recognition in Intelligent Environment
ISBN: 3642548504 ISBN-13(EAN): 9783642548505
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment.

Pattern Recognition Applications and Methods

Автор: Ana Fred; Maria De Marsico; Antoine Tabbone
Название: Pattern Recognition Applications and Methods
ISBN: 3319255290 ISBN-13(EAN): 9783319255293
Издательство: Springer
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Цена: 6708.00 р.
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Описание:

Multiple Image Segmentation.- Aggregation of Biclustering Solutions for Ensemble Approach.- Fuzzy C-Means Stereo Segmentation.- SCHOG Feature for Pedestrian Detection.- Learning Prior Bias in Classifier.- Intra-class Variance among Multiple Samples of the Same Person's Fingerprint in a Cooperative User Scenario.- Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines.- An Empirical Comparison of Support Vector Machines versus Nearest Neighbour Methods for Machine Learning Applications.- Improving the Detection of Relations between Objects in an Image using Textual Semantics.- A ToF-based Approach to 3D Reconstruction of Isometric Surfaces.- Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints.- Fast and Accurate Pedestrian Detection in a Truck's Blind Spot Camera.- Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection.- An Efficient Shape Feature Extraction, Description and Matching Method using GPU.- Utilization of Multiple Sequence Analyzers for Bibliographic Information Extraction.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Anand Rangarajan; M?rio A. T. Figueiredo; Josiane
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540404988 ISBN-13(EAN): 9783540404989
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume consists of the 33 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003)which was held at Instituto Superior T ecnico (IST), the - gineeringSchooloftheTechnicalUniversityofLisbon, PortugalduringJuly7-9, 2003.Thisworkshopwasthefourthinthe serieswhichstartedwithEMMCVPR 1997 held in Venice, Italy in May 1997 and continued with EMMCVPR 1999 held in York, UK in July 1999 and EMMCVPR 2001 held in Sophia-Antipolis, France in September 2001. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches, such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other, often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi?cation and data mining. The aim of the EMMCVPR workshops is to bring together researchers with interests in these disparate areas of CVPR but with an underlying commitment to some form of energy minimization. Although the subject is traditionally well representedinmajorinternationalconferencesonCVPR, thisworkshopprovides a forum wherein researchers can report their recent work and engage in more informal discussions.

Reliable Knowledge Discovery

Автор: Honghua Dai; James N. K. Liu; Evgueni Smirnov
Название: Reliable Knowledge Discovery
ISBN: 1489995323 ISBN-13(EAN): 9781489995322
Издательство: Springer
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Цена: 32004.00 р.
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Описание: Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes.

Introduction to Reliable and Secure Distributed Programming

Автор: Christian Cachin; Rachid Guerraoui; Lu?s Rodrigues
Название: Introduction to Reliable and Secure Distributed Programming
ISBN: 3642423272 ISBN-13(EAN): 9783642423277
Издательство: Springer
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Цена: 7965.00 р.
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Описание: Failures may range from crashes to adversarial attacks by malicious processes.Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks.

Reliable Implementation of Real Number Algorithms: Theory and Practice

Автор: Peter Hertling; Christoph M. Hoffmann; Wolfram Lut
Название: Reliable Implementation of Real Number Algorithms: Theory and Practice
ISBN: 3540855203 ISBN-13(EAN): 9783540855200
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The International Seminar on Reliable Implementation of Real Number Algorithms, held at Dagstuhl Castle, Germany, in January 2006 was intended to stimulate an exchange of ideas between the different communities that deal with the problem of reliable implementation of real number algorithms. This book constitutes the revised papers of the Seminar.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Xue-Cheng Tai; Egil Bae; Tony F. Chan; Marius Lysa
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3319146114 ISBN-13(EAN): 9783319146119
Издательство: Springer
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Цена: 10062.00 р.
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Описание: This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. PDE and variational methods;

Pattern Recognition: Applications and Methods

Автор: Ana Fred; Maria De Marsico; M?rio Figueiredo
Название: Pattern Recognition: Applications and Methods
ISBN: 331927676X ISBN-13(EAN): 9783319276762
Издательство: Springer
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Цена: 7826.00 р.
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Описание: A deeply personal look at a small North Dakota town, Natives of a Dry Place focuses on a not-so-distant past and takes readers on a journey of reflection to a time before big oil. Richard Edwards uses his experience as both a historian and an economist to delve into the overarching questions of what makes a community and how it survives during times of upheaval.

Pattern Recognition Applications and Methods

Автор: Ana Fred; Maria De Marsico; Gabriella Sanniti di B
Название: Pattern Recognition Applications and Methods
ISBN: 3319533746 ISBN-13(EAN): 9783319533742
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Are you interested in using argument-driven inquiry for middle school lab instruction but just aren`t sure how to do it? This title provides you with both the information and instructional materials you need to start using this method right away. The book is a one-stop source of expertise, advice, and investigations to help physical science students work the way scientists do.

Lattices Applied to Coding for Reliable and Secure Communications

Автор: S. I. R. Costa; Frederique Oggier; Antonio Campell
Название: Lattices Applied to Coding for Reliable and Secure Communications
ISBN: 3319678817 ISBN-13(EAN): 9783319678818
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides a first course on lattices - mathematical objects pertaining to the realm of discrete geometry, which are of interest to mathematicians for their structure and, at the same time, are used by electrical and computer engineers working on coding theory and cryptography.


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