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This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification.

Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian...

Topics covered include:

• Basic hardware architecture
• Linear and non-linear image processing algorithms
• Efficient algorithms
• Optimization techniques
• Programming...

What does it mean to be a human being in a culture of war and violence? In this collection the secret life of everyday objects and the "Everyday Shames" of ordinary life reveal how a person can take possession of oneself. ------

In his third full-length collection, Everyday Objects, Edward A. Dougherty places wonderful food for thought on our plates. He spoons out wonderful imagery, knives into the truths of topics such as war, serves up wonderful writing on tenderness for those he loves, allows both sunlight and darkness to enter our kitchens in life. Savor and serve it to yourself...

Buchanan and Tullock's seminal work, The Calculus of Consent, linked economic methodology to substantive questions in political science. Among the major contributions of the book is a connection between constitutional decision making and contractarianism, a philosophical tradition that proponents believe can give institutions legitimacy. In other words, a major contribution of their book is a clear connection between empirical decision making and normative principles. This book formalizes and extends this foundational work as it attempts to show how economic and philosophical arguments...

Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous...