Petia Radeva's Books

Traffic-Sign Recognition Systems

By: Sergio Escalera,Xavier Baró,Oriol Pujol,Jordi Vitrià,Petia Radeva

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Traffic-Sign Recognition Systems

By: Sergio Escalera,Xavier Baró,Oriol Pujol,Jordi Vitrià,Petia Radeva

This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes in real time, and to classify each detected sign into a large, extensible set of classes. To address this challenge, several state-of-the-art methods were developed that can be used for different recognition problems. Following an introduction to the problems of traffic sign detection and categorization, the text focuses on the problem of detection, and presents recent developments in this field. The text then surveys a specific methodology for the problem of traffic sign categorization – Error-Correcting Output Codes – and presents several algorithms, performing experimental validation on a mobile mapping application. The work ends with a discussion on future research and continuing challenges.

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Page Count

101

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447122453

ISBN 13

9781447122456

Traffic-Sign Recognition Systems

By: Sergio Escalera,Xavier Baró,Oriol Pujol,Jordi Vitrià,Petia Radeva

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Traffic-Sign Recognition Systems

By: Sergio Escalera,Xavier Baró,Oriol Pujol,Jordi Vitrià,Petia Radeva

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N/A

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Solve jigsaw puzzle

Age

Page Count

101

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447122453

ISBN 13

9781447122456

Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

By: Laura Igual,Santi Seguí

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Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

By: Laura Igual,Santi Seguí

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

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Age

Page Count

227

Publisher

Springer

Published Date

ISBN 10

3319500171

ISBN 13

9783319500171

Book's by Petia Radeva

Traffic-Sign Recognition Systems

Traffic-Sign Recognition Systems

Traffic-Sign Recognition Systems

Traffic-Sign Recognition Systems

Introduction to Data Science

Introduction to Data Science

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