Because of ear's special physiological structure and location, it is reasonable to combine ear with profile face for
recognition in such scenarios as frontal face images are not available. In this paper, a novel method of multimodal
recognition fusing ear and profile face based on kernel principal component analysis is proposed. With the algorithm, the
fusion feature vectors of ear and profile face are established and nonlinear feature fusion projection could be
implemented. The experimental results show that multimodal recognition fusing both ear and profile face results in
improvement over either ear or profile face unimodal recognition.
Research on the synchronization aiming at a kind of complex chaotic system-delayed chaotic system was investigated
in this paper. A kind of control algorithm with simple structure and without the limit of topologic isomorphic to the
controlled chaos system and the target one is designed under the feasible assumption. The theoretic analysis of the
performance of the given controller and the relationship between the controlling error and delayed time are given. On the
basis of that, the simulation on the presented control algorithm is carried out, and the simulation results show the validity
of the control algorithm.
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