In this paper, we propose a segmentation method based on the Generalized Fast Marching Method (GFMM) developed by Carlini et al.([6]). The classical Fast Marching Method (FMM) is a...
Nicolas Forcadel, Carole Le Guyader, Christian Gou...
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Smarter phones have made handheld computer vision a reality, but limited bandwidth, storage space and processing power prevent mobile phones from leveraging the full body of exist...
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...