7篇
您的检索式：作者名="Chuang GAN"
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| 1 | Development of parametric loudspeaker显示文摘 | SHI Chuang GAN W S | 2010 | IEEE Potentials2010，29，6： | 1 |
| 2 | Analysis and calibration of system errors in steerable parametric loudspeakers 显示文摘 | Chuang Shi Woon - Seng Gan | 2012 | Applied Acoustics2012，73，： | 1 |
| 3 | Development of parametric loudspeaker显示文摘 | SHI Chuang GAN W S | | 0，，6： | 1 |
| 4 | Analysis and Calibration of System Errors in Steerable Parametric Loudspeakers 显示文摘 | Chuang Shi Woon-Seng Gan | 2012 | Applied Acoustics2012，73，： | 1 |
| 5 | Development of para- metric loudspeaker显示文摘 | SHI Chuang GAN Woonseng | 2010 | IEEE Potentials2010，29，6： | 1 |
| 6 | Gender Recognition by MULBP显示文摘Gender recognition has gained more attention. However, most of the studies have focused on face images acquired under controlled conditions. In this paper, we investigate gender recognition on real-life faces. We proposed a gender recognition scheme, which is composed of four parts: face detection, median filter, feature extraction, and gender classifier. MULBP features are adopted and combined with a SVM classifier for gender recognition. The MULBP feature is robust to noise and illumination variations. In the experiment, we obtain 98.32% using LFW database and 97.30% on Samsung Gender dataset, which shows the superior performance in gender recognition compared with the conventional operators. | Yudian JI Chuang GAN | 2013 | 软件2013，34，1： | 0 |
| 7 | Plagiarism Detection in Homework Based on Image Hashing显示文摘The problem of high similarity in homework has troubled teachers with time. Previous plagiarism detection systems are mainly realized by string matching which has a limitation, i.e., image homework cannot be detected. To this issue, we propose a new method of plagiarism detection in homework. First,we get fingerprint features of image homework by converting text homework into images. Then, we use image hashing algorithm and hamming distance to calculate the similarity of these features. Finally, we perform the empirical study on course of Computer Network Experiment, the test shows that our method not only reliably keeps the detection speedily, but also consistently ensures precision and false positive rate. | Ying Chen Liping Gan Shiqing Zhang Wenping Guo Yuelong Chuang and Xiaoming Zhao | 2017 | 国际计算机前沿大会会议论文集2017，，2： | 0 |
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