In order to personalize users' recommendations, it is essential to consider their personalized
preferences on non-functional attributes during service recommendation. However, to …

Modelling causal relationships has become popular across various disciplines. Most
common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) …

针对工业工件拟合中测量数据由于测量仪器特性导致的不同方向误差分量差异问题进行了研究,
提出了基于误差分解定权的工业测量拟合算法. 该算法考虑了工件姿态以及测量仪器和测点的 …

Recommender systems have been developed at different levels with different approaches to
help resolve the challenge of choice making due to the abundance and variety of …

Robust extraction of consensus sets from noisy data is a fundamental problem in robot
vision. Existing multimodel estimation algorithms have shown success on large consensus …

计算机视觉领域, 多结构模型参数的提取是一个常见任务. 传统的提取算法一般先对输入数据集
进行分类, 然后通过对相关数据类的拟合获得对模型集参数的估计. 然而, 由于模型集未知 …

工业测量拟合通常只关心待测工件的尺寸姿态, 而不关心其绝对位置, 但观测数据却包含了两者
的误差. 为提取出影响待测工件尺寸姿态的误差分量, 提出了基于测量仪器先验误差分解定权的 …

点云配准是大规模城市三维重建中的重点问题. 考虑到楼宇与地面是城市的主要组成部分,
而平面是构成它们的重要几何元素, 本文提出了一种通过匹配平面结构来进行大规模城市点云 …

Usually in industrial measurements, the size and posture of a workpiece instead of its
absolute position are the most frequent factors of interest, but observation data include …

Point cloud registration is the important part in the large-scale city reconstruction.
Considering the ground plane and buildings, which are the main objects in the city, always …