French National Institute for Transport and Safety Research (INRETS) - LTN, Arcueil, France;
Universite Paris XII - CERTES, Creteil, France;
rnHEUDIASYC, Universite de Technologie de Compiegne, CNRS - Centre de Recherches de Royallieu, Compiegne, France;
French National Institute for Transport and Safety Research (INRETS) - LTN, Arcueil, France;
dempster-shafer theory; transferable belief model; mixture models; em algorithm; classification; clustering; partially supervised learning; semi-supervised learning;
机译:基于软判别混合模型的鲁棒车辆检测和视点估计
机译:输出误差模型的参数估计的拍摄方法
机译:可能未知信号传播模型的鲁棒目标位置估计
机译:用软标签混合模型估计
机译:混合和非混合固化模型中参数估计的各种方法
机译:具有已知混合物组分尺寸的有限混合物模型的EM估计
机译:带有软标签的混合模型估计