机译:通过在格拉斯曼流形上学习自动识别时空星座
Department of Electronics and Electrical Engineering, University of Hong Kong, Hong Kong;
Department of Electronics and Electrical Engineering, University of Hong Kong, Hong Kong;
Department of Computer Science, University of Hong Kong, Hong Kong;
Department of Electronics and Electrical Engineering, University of Hong Kong, Hong Kong;
Modulation; Manifolds; Signal processing algorithms; Clustering algorithms; MIMO communication; Receivers; Machine learning;
机译:在Grassmann流形上学习原型和明喻以进行自发表情识别
机译:通过在格拉斯曼流形上学习获得准确的3D动作识别
机译:基于刚性粘塑FEM的参数模拟的基层歧管的时空豆荚插值
机译:通过学习基地歧管自动识别时空星座
机译:基层歧管特征选择和模式识别的算法
机译:深度学习和常规机器学习方法从超声图像中自动识别肝细胞癌区域的比较
机译:通过学习基地歧管自动识别时空星座
机译:利用学习范式自动设计和综合自动目标识别(aTR)系统