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CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
A proposed curriculum of cryptography courses
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AFRIGRAPH '06 Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
Comparing robustness of pairwise and multiclass neural-network systems for face recognition
EURASIP Journal on Advances in Signal Processing
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Translated Poisson Mixture Model for Stratification Learning
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International Journal of Biometrics
A novel approach to design of user re-authentication systems
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Iris recognition using genetic algorithms and asymmetrical SVMs
Machine Graphics & Vision International Journal
On using high-definition body worn cameras for face recognition from a distance
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Evaluation of biometric identification in open systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Biomolecular immune-computer: theoretical basis and experimental simulator
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Fusion of biometric systems using Boolean combination: an application to iris-based authentication
International Journal of Biometrics
Protecting biometric templates with image watermarking techniques
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Biometric fusion by simulated annealing
International Journal of Knowledge-based and Intelligent Engineering Systems
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A breakthrough approach to improving biometrics performance Constructing robust information processing systems for face and voice recognition Supporting high-performance data fusion in multimodal systems Algorithms, implementation techniques, and application examplesMachine learning: driving significant improvements in biometric performanceAs they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains.Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems.Coverage includes: How machine learning approaches differ from conventional template matching Theoretical pillars of machine learning for complex pattern recognition and classification Expectation-maximization (EM) algorithms and support vector machines (SVM) Multi-layer learning models and back-propagation (BP) algorithms Probabilistic decision-based neural networks (PDNNs) for face biometrics Flexible structural frameworks for incorporating machine learning subsystems in biometric applications Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks Multi-cue data fusion techniques that integrate face and voice recognition Application case studies