Topics and features:
- Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges
- Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data
- Describes a novel semi-supervised training strategy known as fusion-based co-training
- Examines the characterization and recognition of human gestures in videos
- Discusses a selection of learning techniques that can be applied to build an adaptive biometric system
- Investigates procedures for handling temporal variance in facial biometrics due to aging
students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
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