… On the other hand, using Hausdorff distance based … feature selection algorithm built on fuzzy
rough set is first proposed for dimension-reduction tasks. (2) We apply Hausdorff distance to …

… This study focuses on evaluating the stability of feature selection techniques with respect …
feature selection methods including variance thresholds, edit distance, and Hausdorff distance …

… distance established in this paper is the first work used in the world of feature selection. In
… As a result, from what has been explained about the Euclidean and Hausdorff distances, it …

… Thus, we propose two novel schemes to calculate the Hausdorff distance and its … two
forms of Hausdorff distance between SVNSs based on the definition of Hausdorff metric …

… So the proposed work recognizing object using a shape context and Hausdorff distance is
… The process evaluates the similarity of the two point set using Hausdorff distance. Finally, …

… cost and fast calculation speed, and to improve the safety and stability of the battery system,
this manuscript describes the voltage variation of each cell by calculating Hausdorff distance …

… In this study, we present a novel parametric-based feature selection method using the three-…
The calculated similarity measurements (ie, three-dimensional Hausdorff distance (HD) [6]) …

… Along with this method, we explore new approaches based on the Hausdorff distance [7] …
Section 3 describes methods based on the Hausdorff distance and the sum of maximum …

… that of Hausdorff distance and IoU, and using Hausdorff distance and IoU as feature parameters
can … Using Hausdorff distance separately as a feature parameter, the algorithm achieved …

… the robustness of the traditional Hausdorff distance by rejecting outliers and noise in the
point sets. Our method ensures that the Hausdorff distance maintains a higher accuracy under …