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Neural Networks in Telecommunications
Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while ...
Motion-Based Recognition
Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.
Battle for Congress
Just in time for the coming election year, this book looks at the changing of the guard in 2006 and speculates on where the system may be heading in 2008. It provides an in-depth examination of the ways in which candidates, interest groups, and parties perceived their opportunities and allocated their campaign resources during the midterm elections. The role of money, which was influenced by campaign finance reform, is a special focus in this book. The theme of political scandal has frequently raised concerns that Republican leadership had become a "culture of corruption" that had flourished under their watch, which is also addressed in this book. The war in Iraq, however, may be the most important factor-not only in the 2006 battle for Congress, but for the 2008 battle for the White House as well.
Worldwide Intelligent Systems
Telecommunications firms worldwide are actively involved in AI applications for resolving network management and telecommunications problems. This book adresses the folllowing major functional areas: planning, scheduling, monitoring, control, fault classification and diagnosis, training and help desks. Recent and emerging AI techniques are applied, including neural networks, expert systems, integrating rule-based systems with case-based reasoning systems, genetic algorithms, distribited AI and intelligent tutoring systems. Readers: researchers and professionals in telecommunication, AI experts and graduate students.
Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism
This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
The Deep Learning Revolution
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of...
The Next Economic Disaster
Current debates about economic crises typically focus on the role that public debt and debt-fueled public spending play in economic growth. This illuminating and provocative work shows that it is the rapid expansion of private rather than public debt that constrains growth and sparks economic calamities like the financial crisis of 2008. Relying on the findings of a team of economists, credit expert Richard Vague argues that the Great Depression of the 1930s, the economic collapse of the past decade, and many other sharp downturns around the world were all preceded by a spike in privately held debt. Vague presents an algorithm for predicting crises and argues that China may soon face disaster. Since American debt levels have not declined significantly since 2008, Vague believes that economic growth in the United States will suffer unless banks embrace a policy of debt restructuring. All informed citizens, but especially those interested in economic policy and history, will want to contend with Vague's distressing arguments and evidence.
NASA Tech Briefs
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Computerworld
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
