
Structured Learning and Prediction in Computer Vision
now publishers Inc
1st Edition
Published on 30. June 2011
Book
Paperback/Softback
196 pages
978-1-60198-456-2 (ISBN)
Description
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision. The focus is on discrete undirected graphical models which are covered in detail together with a description of algorithms for both probabilistic inference and maximum a posteriori inference. It also discusses separately recently successful techniques for prediction in general structured models. The second part of Structured Learning and Prediction in Computer Vision describes methods for parameter learning, distinguishing the classic maximum likelihood based methods from the more recent prediction-based parameter learning methods. It highlights developments to enhance current models and discusses kernelized models and latent variable models. Throughout Structured Learning and Prediction in Computer Vision the main text is interleaved with successful computer vision applications of the explained techniques. For convenience the reader can find a summary of the notation used at the end of the book.
More details
Series
Language
English
Place of publication
Hanover
United States
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 11 mm
Weight
283 gr
ISBN-13
978-1-60198-456-2 (9781601984562)
DOI
10.1561/0600000033
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1: Introduction 2: Graphical Models 3: Inference in Graphical Models 4: Structured Prediction 5: Conditional Random Fields 6: Structured Support Vector Machines 7: Conclusion. Notations and Acronyms. References.