Evolutionary Synthesis of Pattern Recognition Systems
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ISBN-13:
9780387212951
Veröffentl:
2005
Erscheinungsdatum:
17.02.2005
Seiten:
296
Autor:
Bir Bhanu
Gewicht:
643 g
Format:
242x165x23 mm
Sprache:
Englisch
Beschreibung:
Designing object detection and recognition systems that work in the real world is a challenging task due to various factors including the high complexity of the systems, the dynamically changing environment of the real world and factors such as occlusion, clutter, articulation, and various noise contributions that make the extraction of reliable features quite difficult.
Evolutionary computation is becoming increasingly important for computer vision and pattern recognition. It provides a systematic way of synthesizing and analyzing object detection and pattern recognition systems. Incorporating "learning" into recognition systems will enable these systems to automatically generate new features on the fly (evolve) and cleverly select a good subset of features according to the type of objects and images to which they are applied. This book investigates evolutionary computational techniques---such as genetic programming, linear genetic programming, coevolutionary genetic programming and genetic algorithms---to automate the synthesis and analysis of object detection and recognition systems.
Feature Synthesis for Object Detection.- Mdl-Based Efficient Genetic Programming for Object Detection.- Feature Selection for Object Detection.- Evolutionary Feature Synthesis for Object Recognition.- Linear Genetic Programming for Object Recognition.- Applications of Linear Genetic Programming for Object Recognition.- Summary and Future Work.
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