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    Chapter and Conference Paper

    Modeling and learning robot manipulation strategies

    This paper describes a general approach to learning and planning robot manipulation strategies. Here, the strategies are represented using a discrete-event dynamical systems model where each node corresponds t...

    Jiming Liu, Y. Y. Tang, Oussama Khatib in Experimental Robotics V (1998)

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    Chapter and Conference Paper

    Reduction of Feature Statistics Estimation Error for Small Training Sample Size in Off-Line Signature Verification

    In this paper, we propose two methods to tackle the sparse data problem in off-line signature verification. The first one is to artificially generate additional training samples from the existing training set ...

    B. Fang, Y. Y. Tang in Biometric Authentication (2004)

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    Chapter and Conference Paper

    A Statistical Image Fusion Scheme for Multi Focus Applications

    In this paper, we propose a statistical scheme to judge the activity level measurement (ALM) that is based on wavelet-domain hidden Markov model (WD-HMM) and maximum likelihood (MLK). The source images are fir...

    Z. W. Liao, S. X. Hu, W. F. Chen, Y. Y. Tang… in Advances in Machine Learning and Cyberneti… (2006)