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Computer Vision: Algorithms and Applications
As humans, we perceive the three-dimensional structure of the world around us with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem, and what is the current state of the art?

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images.
Neural Networks
In response to the exponentially increasing need to analyze vast amounts of data, this book provides scientists with a simple but systematic introduction to neural networks.
Machine Learning, Neural and Statistical Classification
Statistical, machine learning and neural network approaches to classification are all covered in this volume. Contributions have been integrated to provide an objective assessment of the potential for machine learning algorithms in solving significant commercial and industrial problems, widening the foundation for exploitation of these and related algorithms.
Neural Networks Using C# Succinctly
Neural networks are an exciting field of software development used to calculate outputs from input data. While the idea seems simple enough, the implications of such networks are staggering�think optical character recognition, speech recognition, and regression analysis.
A Gentle Guide to Constraint Logic Programming via ECLiPSe, 3rd Edition
The book is an introductory and down-to-earth presentation of Constraint Logic Programming (CLP), an exciting software paradigm, more and more popular for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimization problems.
Conceptive C
This book contains 88 C programs used to teach C programming.
Expert Systems in Prolog
This book is aimed at the Prolog programmer interested in either building expert systems or experimenting with various expert system techniques. Dennis Merritt chooses a step-by-step approach to building systems, explaining the concepts and showing the Prolog code at each stage.
The LION Way: Machine Learning plus Intelligent Optimization
Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions.
From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots
From Bricks to Brains introduces embodied cognitive science and illustrates its foundational ideas through the construction and observation of LEGO Mindstorms robots.
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