Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Hierarchical Neural Networks for Image Interpretation (Lecture Notes in Computer Science)

Buy

It is my pleasure and privilege to write the foreword for this book, whose results I have been following and awaiting for the last few years. This monograph represents the outcome of an ambitious project oriented towards advancing our knowledge of the way the human visual system processes images, and about the way it combines high level hypotheses with low level inputs during pattern recognition. The model proposed by Sven Behnke, carefully exposed in the following pages, can be applied now by other researchers to practical problems in the field of computer vision and provides also clues for reaching a deeper understanding of the human visual system.

This book arose out of dissatisfaction with an earlier project: back in 1996, Sven wrote one of the handwritten digit recognizers for the mail sorting machines of the Deutsche Post AG. The project was successful because the machines could indeed recognize the handwritten ZIP codes, at a rate of several thousand letters per hour. However, Sven was not satisfied with the amount of expert knowledge that was needed to develop the feature extraction and classification algorithms. He wondered if the computer could be able to extract meaningful features by itself, and use these for classification. His experience in the project told him that forward computation alone would be incapable of improving the results already obtained. From his knowledge of the human visual system, he postulated that only a two-way system could work, one that could advance a hypothesis by focussing the attention of the lower layers of a neural network on it. He spent the next few years developing a new model for tackling precisely this problem.

The main result of this book is the proposal of a generic architecture for pattern recognition problems, called Neural Abstraction Pyramid (NAP). The architecture is layered, pyramidal, competitive, and recurrent. It is layered because images are represented at multiple levels of abstraction. It is recurrent because backward projections connect the upper to the lower layers. It is pyramidal because the resolution of the representations is reduced from one layer to the next. It is competitive because in each layer units compete against each other, trying to classify the input best. The main idea behind this architecture is letting the lower layers interact with the higher layers. The lower layers send some simple features to the upper layers, the uppers layers recognize more complex features and bias the computation in the lower layers. This in turn improves the input to the upper layers, which can refine their hypotheses, and so on. After a few iterations the network settles in the best interpretation. The architecture can be trained in supervised and unsupervised mode.

(HTML tags aren't allowed.)

The Web and Parents: Are You Tech Savvy?
The Web and Parents: Are You Tech Savvy?

Are you a parent with kids in elementary, middle, or high school? This book is for you. You may feel that your children are experts on using the Web, technology wizards, computer geniuses. Please don’t despair. First of all, they are not necessarily all of these things simply because they may know more than you do about using the Web....

Debating the Reagan Presidency (Debating Twentieth-Century America)
Debating the Reagan Presidency (Debating Twentieth-Century America)

The presidency of Ronald Reagan has become a Rorschach Test for politicians and citizens alike. Conservatives see the Reagan era as the high-water mark for their movement, in much the same way that many progressives view FDR's presidency as the pinnacle of liberalism. Liberals maintain that the rosy Reagan legacy is based largely on myth, and...

Application Theory of Petri Nets: 32nd International Conference, PETRI NETS 2011, Newcastle, UK, June 20-24, 2011
Application Theory of Petri Nets: 32nd International Conference, PETRI NETS 2011, Newcastle, UK, June 20-24, 2011

This volume constitutes the proceedings of the 32nd International Conference on Applications and Theory of Petri Nets and Other Models of Concurrency (PETRI NETS 2011). The Petri Net conferences serve as annual meeting places to discuss the progress in the field of Petri nets and related models of concurrency. They provide a forum for...


ng-book - The Complete Book on AngularJS
ng-book - The Complete Book on AngularJS

Ready to master AngularJS? What if you could master the entire framework – with solid foundations – in less time without beating your head against a wall? Imagine how quickly you could work if you knew the best practices and the best tools? Stop wasting your time searching and have everything you need to be productive in one,...

Good Manufacturing Practices for Pharmaceuticals, Seventh Edition (Drugs and the Pharmaceutical Sciences)
Good Manufacturing Practices for Pharmaceuticals, Seventh Edition (Drugs and the Pharmaceutical Sciences)

This book provides insight into the world of pharmaceutical quality systems and the key elements that must be in place to change the business and organizational dynamics from task-oriented procedure-based cultures to truly integrated quality business systems that are self-detecting and correcting. Chapter flow has been changed to...

Programming Chrome Apps
Programming Chrome Apps

Put your web app design skills to work by learning how to create powerful and portable Chrome Apps. With this practical book, you’ll learn how to build Google’s unique apps to behave just like native apps so they can interact with hardware devices, access external files, and send notifications.

Author Marc...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy