Titlebook: Advances in Machine Learning; First Asian Conferen Zhi-Hua Zhou,Takashi Washio Conference proceedings 2009 Springer-Verlag Berlin Heidelber

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Cliques of Legitimizing Leadersng as an optimization problem and solve it efficiently with a closed-form solution. This method can be generally applied to face recognition problems with various degrade images. Experimental results on various degraded face recognition problems show the effectiveness and efficiency of our proposed method.

absolve

Arctic

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meritorious

Thomas George Kallarakkal,Wei Cheong Ngeowures based on outline recognition, PCA classifiers applied to part of the face and exploitation of symmetry in faces. By combining the predictions of these features we obtain superior performance on benchmark datasets (99.25% accuracy on the ATT dataset) at reduced computation cost compared to full PCA.

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Haiti Before the U.S. Intervention,xed into a novel convex semidefinite programming (SDP). The relaxed SDP has . free parameters where . is the number of instances, and can be solved using a standard interior-point method. Empirical study shows promising performance of the proposed SDP in comparison with the support vector machine approaches with heuristic optimization procedures.

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漫步

A Network Governance Model of the Firmh flexible structures and present experimental results in terms of classification accuracy. Results of comparative experiments show that our proposed method outperforms AODE on classification accuracy.

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