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IP属地：江苏
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
在计算机视觉中，有两种不确定性。 种类：aleatoric 偶然不确定性。来源于数据，不会随着模型的训练而改善。例如在分割标注时，在边缘处的标注本身就具有模糊性，这是固有的。...
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原名凡人求索-李凯旋,欢迎大家一起交流数据方面的问题，我的微信号lkx941013
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20年04月论文读书笔记卷积神经网络（CNN）：可以捕获图像稳定的local 局部特征和模式 其利用权值共享的理念为解决物体的平移问题而设计的，通过卷积核在全局移动获得局部pattern，再用多个（...
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个人介绍
Received B.Sc. degree in IoT Engineering in IoT School, JNU.
M.Sc. Student School of Computer Science and Technology, USTC.
Research Interests include but not limited to Machine learning, Spatial-Temporal data mining, Traffic data mining. Our papers have been received in AAAI, ICDM, MDM conferences.
M.Sc. Student School of Computer Science and Technology, USTC.
Research Interests include but not limited to Machine learning, Spatial-Temporal data mining, Traffic data mining. Our papers have been received in AAAI, ICDM, MDM conferences.