L. J. Tan

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We present a hybrid face recognition algorithm which is based on the linear discriminant analysis (LDA) improved by a fusion technique and learning vector quantization (LVQ) in the paper. Firstly, the improved LDA is utilized to reduce the sample vector dimension, and then the LVQ classifier is used to recognize human faces. We perform intensive set of(More)
In this paper we focus on the dispatching problem for trucks at a container terminal, considering a set of transportation requests with different ready times and sequence-dependent processing times. Since the scheduling problem is proved to be NP-hard, exact solution approaches cannot solve it within reasonable time. We proposed a new approach based on(More)
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