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Advances in Computer Vision and Pattern Recognition is a series of books which brings together current developments in all areas of this multi-disciplinary topic. It covers both theoretical and applied aspects of pattern recognition, and provides texts for students and senior researchers in areas including, but not limited to:
- Computer vision
- Biological vision
- Signal processing
- Image processing and analysis
- Video processing and analysis
- Document analysis
- Character recognition
- Speech analysis and recognition
- Biometrics
- Multimedia
- Virtual reality
- Neural networks
- Machine vision and learning
- Robotics
- Industrial control and automation
- Genetic algorithms and evolutionary computing
- Intelligent forecasting
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