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Complexity in information theory
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IEEE Transactions on Pattern Analysis and Machine Intelligence
On Exploring Complex Relationships of Correlation Clusters
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
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ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
On-Demand Chaotic Neural Network for Broadcast Scheduling Problem
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
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Neural Networks
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IEEE Transactions on Neural Networks
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Axis-Parallel dimension reduction for biometric research
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
Chaotic neural network for biometric pattern recognition
Advances in Artificial Intelligence - Special issue on Learning Approaches for Biometric Identification and Verification
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Acquiring a group of different biometrics characteristic and specifications results in a number of issues that should be addressed in a modern biometric system. One of the common problems is the high dimensionality of the data, which may impact negatively the biometric system performance. The complexity of data is rarely considered in multimodal biometric systems due to the gap between recently developed dimensionality reduction techniques in data mining and data analysis of biometric features. To remedy the situation, this paper proposes a unique methodology for shrinking down the finite search space of all possible subspaces. The approach also utilises the function approximation capabilities of chaotic neural networks to act as an associative memory to learn the biometric patterns. In summary, the contribution of this paper is in novel methodology based on the axis-parallel dimension reduction technique and chaotic neural network to improve the performance and circumvention of biometric system.