BIR BHANU – EVOLUTIONARY SYNTHESIS OF PATTERN RECOGNITION SYSTEMS

Evolutionary vision provides a systematic way of synthesis and analysis of object detection and recognition systems. Incorporating learning into recognition systems will allow these systems to automatically generate new features on the fly and select a good subset of features according to the type of objects and images to which they are applied. Evolutionary computational techniques, such as genetic programming, linear genetic programming, coevolutionary genetic programming and genetic algorithms, are investigated in this monograph to automate the synthesis and analysis of object detection and recognition systems. The purpose of incorporating learning into the system design is to avoid the time consuming process of feature generation and selection and to reduce the cost of building object detection and recognition systems. This well-developed and organized volume is an important resource for researchers, professionals, engineers, and students working in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining.

Evolutionary Synthesis of Pattern Recognition Systems is what you get.

Evolutionary Synthesis of Pattern Recognition Systems, Free Evolutionary Synthesis of Pattern Recognition Systems, and Evolutionary Synthesis of Pattern Recognition Systems are available.