2D Object Detection and Recognition: Models, Algorithms, and Networks This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural
Bayesian Biostatistics and Diagnostic Medicine
Bayesian methods are being used more often than ever before in biology and
medicine. For example, at the University of Texas MD Anderson Cancer
Center, Bayesian sequential stopping rules routinely are used for the design
of clinical trials. This book is based on the author’s experience working with
a variety of... Statistical Methods, Second Edition
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.
Statistical Pattern Recognition
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval,...
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