This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving...
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...
The third International Symposium on Intelligent Informatics (ISI-2014) provided a
forum for sharing original research results and practical development experiences
among experts in the emerging areas of Intelligent Informatics. This edition was
co-located with third International Conference on Advances in Computing, Communications...
In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.
Satellite positioning and computerised spatial data have transformed the way in which many areas of research and commercial activity are conducted. The combination of GIS and GPS is used for a broad spectrum of experiments.
This book provides technical overview of GIS, GPS and their integration, before focusing on a selection of R&D...
Cloud computing is often described as providing computing resources the way electric utilities provide energy. In theory, anyone with an adequate connection to the Internet should be able to tap into a cloud provider and get exactly the computing resources they want when they want it, just like plugging into the electricity grid and...
Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts.
Chapters in the first part address the position of fuzzy systems in control...
With the evolution of our complex technological society and the introduction of new notions and innovative theoretical tools in the field of intelligent systems, the field of neural networks is undergoing an enormous evolution. These evolving and innovative theoretical tools are centered around the theory of soft computing, a theory that embodies...
Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a...
