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Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide...

Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View
Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View

The original goal of the AI field was the construction of “thinking machines” – that is, computer systems with human-like general intelligence. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called “narrow AI” – the production...

Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

Circuits, Signals, and Speech and Image Processing (The Electrical Engineering Handbook Third Edition)
Circuits, Signals, and Speech and Image Processing (The Electrical Engineering Handbook Third Edition)

The purpose of The Electrical Engineering Handbook, 3rd Edition is to provide a ready reference for the practicing engineer in industry, government, and academia, as well as aid students of engineering. The third edition has a new look and comprises six volumes including:

Circuits, Signals, and Speech and Image Processing...

Computer Processing of Remotely-Sensed Images: An Introduction
Computer Processing of Remotely-Sensed Images: An Introduction

Environmental remote sensing is the measurement, from a distance, of the spectral features of the Earth’s surface and atmosphere. These measurements are normally made by instruments carried by satellites or aircraft, and are used to infer the nature and characteristics of the land or sea surface, or of the atmosphere, at the...

Modern Compiler Implementation in ML
Modern Compiler Implementation in ML

Over the pasi decade, there have been several shifts in the way compilers are built. New kinds of programming languages are being used: object-oriented languages with dynamic methods, functional languages with nested scope and first-class function closures; and many of these languages require garbage collection. New machines have...

The Coming Robot Revolution: Expectations and Fears About Emerging Intelligent, Humanlike Machines
The Coming Robot Revolution: Expectations and Fears About Emerging Intelligent, Humanlike Machines

Making a robot that looks and behaves like a human being has been the subject of many popular science fiction movies and books. Although the development of such a robot faces many challenges, the making of a virtual human has long been potentially possible. With recent advances in various key technologies related to hardware and...

Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)
Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)

Humans receive the great majority of information about their environment through sight, and at least 50% of the human brain is dedicated to vision. Vision is also a key component for building artificial systems that can perceive and understand their environment. Computer vision is likely to change society in many ways; for example, it...

Machine Perception
Machine Perception

The field of machine perception concerns the building of machines that sense and interpret their environments. This book is about visual perception. Potential applications for such systems include tasks such as automation of industrial processes of inspection and assembly, automated medical x-ray diagnosis, vehicle guidance and...

Emergent Web Intelligence: Advanced Semantic Technologies (Advanced Information and Knowledge Processing)
Emergent Web Intelligence: Advanced Semantic Technologies (Advanced Information and Knowledge Processing)

The success of the World Wide Web depends on the ability of users to store, process and retrieve digital information regardless of distance boundaries, languages and domains of knowledge. The universality and flexibility of the World Wide Web have also enabled the rapid growth of a variety of new services and applications based on...

Verilog Designer's Library
Verilog Designer's Library

Ready-to-use building blocks for integrated circuit design.

 

Why start coding from scratch when you can work from this library of pre-tested routines, created by an HDL expert? There are plenty of introductory texts to describe...

Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing)
Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing)

The purpose of this book is to provide up-to-date progress both in Multiple Criteria Programming (MCP) and Support Vector Machines (SVMs) that have become powerful tools in the field of data mining. Most of the content in this book are directly from the research and application activities that our research group has conducted over the...

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