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您的检索式：作者名="LING Bingo"
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| 1 | 改进级联卷积神经网络的平面旋转人脸检测显示文摘多样的平面内旋转(rotation in plane,RIP)角度下的人脸检测具有极大的挑战性,为检测平面旋转人脸,提出一种改进型的级联卷积神经网络,提出并训练一个多任务级联卷积神经网络来检测普通正面或侧面人脸,在该神经网络中嵌入一个分类网络进行RIP角度判断,将平面内旋转人脸检测看作一个多分类问题,执行相应的仿射变换后将人脸候选框输入到网络。实验结果表明,改进后的方法可以精确实现360°范围内RIP角度人脸检测。 | 傅勇 潘晴 田妮莉 杨志景 Bingo Wing-Kuen Ling Everett.X.Wang | 2020 | 计算机工程与设计2020，41，3： | 4 |
| 2 | 东方美学在审美人工智能中的融合研究显示文摘随着机器学习和深度学习等人工智能技术的不断深入发展和研究的开展,艺术美学与人工智能完美的融合将会为我们的生活来带更多的内涵和研究的方式。本文通过思考人工智能与东方美学之间的关系及其所引领的艺术设计,为我们后续审美人工智能与东方美学的融合发展提供借鉴性意见和建议。 | 叶凤华 HO Charlotte Yuk-Fan 李亚 Lim Taeseung LING Bingo Wing-Kuen | 2018 | 商业故事2018，，12： | 0 |
| 3 | MEASURING AND LOCATING ZONES OF CHAOS AND IRREGULARITY显示文摘The new measures computed here are the spectral detrended fluctuation analysis(sDFA)and spectral multi-taper method(sMTM).sDFA applies the standard detrended fluctuation analysis(DFA) algorithm to power spectra.sMTM exploits the minute increases in the broadband response,typical of chaotic spectra approaching optimal values.The authors chose the Brusselator,Lorenz,and Duffing as the proposed models to measure and locate chaos and severe irregularity.Their series of chaotic parametric responses in short time-series is advantageous.Where cycles have only a limited number of slow oscillations such as for systems biology and medicine.It is difficult to create,locate,or monitor chaos.From 50 linearly increasing starting points applied to the chaos target function(CTF);the mean percentage increases in Kolmogorov-Sinai entropy(KS-Entropy) for the proposed chosen models;and p-values when the models were compared statistically by Kruskal-Wallis and ANOVA1 test with distributions assumed normal are Duffing(CTF:31%:p <0.03);Lorenz(CTF:2%:p <0.03),and Brusselator(CTF:8%:p <0.01).Principal component analysis(PCA) is applied to assess the significance of the objective functions for tuning the chaotic response.From PCA the conclusion is that CTF is the most beneficial objective function overall delivering the highest increases in mean KS-Entropy. | GARNER David Matthew LING Bingo Wing-Kuen | 2014 | Journal of Systems Science & Complexity2014，27，3： | 0 |
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