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Markov Random Fields for Vision and Image Processing (MIT Press)

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This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications. After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools.

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Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Social Networks and the Semantic Web (Semantic Web and Beyond)
Social Networks and the Semantic Web (Semantic Web and Beyond)
Whether we changed the Web or the Web has changed us is difficult to discern, even with the wisdom of hindsight. Social Networks and the Semantic Web provides two major case studies.

The first case study shows the possibilities of tracking a research community over the Web, combining the information obtained from the Web with...

Cyber Conflict: Competing National Perspectives
Cyber Conflict: Competing National Perspectives

Today, cyber security, cyber defense, information warfare and cyber warfare issues are among the most relevant topics both at the national and international level. All the major states of the world are facing cyber threats and trying to understand how...


King Zeno: A Novel
King Zeno: A Novel

A New York Times Book Review Editors' Choice and a Paris Review Staff Pick

A January Pick by Salon, Town and Country, Southern Living, and LA Magazine

New Orleans, 1918. The birth of jazz, the Spanish flu, an ax murderer on the loose. The lives of a...

Ant Colony Optimization and Constraint Programming
Ant Colony Optimization and Constraint Programming

Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts.

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An Introduction to Testing Web Applications with twill and Selenium
An Introduction to Testing Web Applications with twill and Selenium

This Short Cut is an introduction to building automated web tests using two tools, twill and Selenium. twill is a simple web scripting language that can be used to automate web tests, while Selenium is a web testing framework that runs in any browser and can be used to test complex web sites that make extensive use of...

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