… 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 …

… a feature selection method based on the Hausdor distance measure, and evaluate its e
ectiveness in preprocessing input data for inducing decision trees. The Hausdor distance …

… feature selection in Section 4. In Section 5, we provide a brief discussion of the Hausdorff
distance … of genetic algorithm with Hausdorff distance as wrapper-based feature selection. We …

… algorithm based data mining techniques that use the concepts of self-adaptive feature selection
together with a wrapper feature selection method based on Hausdorff distance measure. …

… distance-based feature selection methods, where a probabilistically motivated effective
distance … Some recent works [52] further investigate Hausdorff distance in group-wise matching. …

… the Hausdorff distance to nonrigid registration. This is achieved by combining a Hausdorff
distance… In this paper we utilize the forward partial Hausdorff distance and Hausdorff fraction to …

… feature selection algorithms to achieve a physically meaningful embedding of the multimodal
features. … Next, we construct a kernel by making use of the L2-Hausdorff distance [23] …

… (2) Further we will study the Hausdorff distance and improve the Hausdorff distance to
reduce the noise, occlusion, background, and other abnormal points of medical images and …

… In particular, we propose a face similarity measure derived from the Hausdorff distance and
show that this approach produces good recognition results even when less than 3% of the …

… matching based on a weighted Hausdorff distance in this paper. The performance of the
weighted Hausdorff distance is better than that of modified Hausdorff distance for the purpose of …