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Enhanced locality sensitive discriminant analysis for image recognition

Enhanced locality sensitive discriminant analysis for image recognition

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An improved manifold learning method, called enhanced locality sensitive discriminant analysis (ELSDA), for image recognition is proposed. Motivated by the fact that statistically uncorrelated and parameter-free are two desirable and promising characteristics for feature extraction, a new difference-based optimisation objective function with uncorrelated constraint for appearance-based image recognition has been designed. Experimental results demonstrate the efficacy of the proposed method.

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      • Cai, D., He, X., Zhou, K., Han, J.W., Bao, H.J.: `Locality sensitive discriminant analysis', Proc. Int. Joint Conf. on Artificial Intelligence, 2007, Hyderabad, India, p. 708–713
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.2342
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