Computer Recognition Systems 3: 57 (Advances in Intelligent and Soft Computing) - Tapa blanda

Reseña del editor

We performpatternrecognitionallthe time inourdailylives,withoutalways being aware of it. We ?rstly observe the world around us by using all our senses(weextractfeaturesfromalargesetofdata).Wesubsequentlyperform pattern recognition by grouping together similar features and giving them a common label. We can identify similar, non-identical events or objects in an e?cient way. We can, for example, recognise whether complete strangers are smiling at us or not. This is a computationally demanding task, yet is seemingly trivial for humans. We can easily understand the meaning of printed texts even if the letters belong to a font that is new to us, so long as the new font is "similar" to ones we already know. Yet making machines responsive to "similarity notions" can be singularly problematic. Recognition is strongly linked with prediction: distinguishing between a smile and an angry face may be critical to our immediate future action. The same principle applies to driving in heavy tra?c or dealing with many social situations. The successful automation of recognition tasks is not only a major ch- lenge,it is inextricably linkedto the future of ourmodern world.Recognizing tra?c ?ow and tra?c behaviour (be it roadtra?c, air tra?c or internet tr- ?c)canleadtogreatere?ciencyandsafetyinnavigationgenerally.Recogn- ing biosignals(such asECG or EMG) anddiseasesase?ciently aspossible is critical for e?ective medical treatment. Modern warfare is not covered here, but its development in the 21st century will also depend critically on newer, faster, more robust recognition systems.

Contraportada

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 69 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:

• Features, learning and classifiers,
• Image processing and computer vision,
• Speech and word recognition,
• Medical applications,
• Miscellaneous applications.

This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.