5篇
您的检索式：作者名="Huachun Tan"
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| 1 | Tensor completion via a multi-linear low-n-rank factorization model显示文摘 | Tan Huachun Cheng Bin Wang Guangdong | 2014 | Neurocomputing2014，133，： | 1 |
| 2 | Person-independent expression recognition based on person-similarity weighted expression feature显示文摘A new method to extract person-independent expression feature based on higher-order singular value decomposition (HOSVD) is proposed for facial expression recognition. Based on the assumption that similar persons have similar facial expression appearance and shape, the person-similarity weighted expression feature is proposed to estimate the expression feature of test persons. As a result, the estimated expression feature can reduce the influence of individuals caused by insufficient training data, and hence become less person-dependent. The proposed method is tested on Cohn-Kanade facial expression database and Japanese female facial expression (JAFFE) database. Person-independent experimental results show the superiority of the proposed method over the existing methods. | Huachun Tan Yujin Zhang Hao Chen Yanan Zhao Wuhong Wang | 2010 | Journal of Systems Engineering and Electronics2010，21，1： | 1 |
| 3 | Detecting eye blink states by tracking iris and eyelids 显示文摘 | Huachun Tan Yu-Jin Zhang | 2006 | Pattern Recognition Letters2006，27，： | 1 |
| 4 | A Deep Reinforcement Learning Based Car Following Model for Electric Vehicle显示文摘Car following (CF) models are an appealing research area because they fundamentally describe longitudinal interactions of vehicles on the road, and contribute significantly to an understanding of traffic flow. There is an emerging trend to use data-driven method to build CF models. One challenge to the data-driven CF models is their capability to achieve optimal longitudinal driven behavior because a lot of bad driving behaviors will be learnt from human drivers by the supervised learning manner. In this study, by utilizing the deep reinforcement learning (DRL) techniques trust region policy optimization (TRPO), a DRL based CF model for electric vehicle (EV) is built. The proposed CF model can learn optimal driving behavior by itself in simulation. The experiments on following standard driving cycle show that the DRL model outperforms the traditional CF model in terms of electricity consumption. | Yuankai Wu Huachun Tan Jiankun Peng Bin Ran | 2019 | 智能城市应用2019，2，5： | 0 |
| 5 | NEW ICA ALGORITHMS BASED ON SPECIAL LINEAR GROUP显示文摘Unlike the traditional independent component analysis(ICA)algorithms and some recently emerging linear ICA algorithms that search for solutions in the space of general matrices or orthogonal matrices,in this paper we propose two new methods which only search for solutions in the space of the matrices with unitary determinant and without whitening.The new algorithms are based on the special linear group SL(n).In order to achieve our target,we first provide a representation theory for any matrix in SL(n),which only simply uses the product of multiple exponentials of traceless matrices.Based on the matrix representation theory,two novel ICA algorithms are developed along with simple analysis on their equilibrium points.Moreover,we apply our methods to the classical problem of signal separation.The experimental results indicate that the superior convergence of our proposed algorithms,which can be expected as two viable alternatives to the ICA algorithms available in publications. | HANG TAN XIANHE HUANG YING TANG HUACHUN TAN | 2013 | International Journal of Modeling, Simulation, and Scientific Computing2013，4，1： | 0 |
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