Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
Grid applications have been prone to encountering problems such as failures or malicious attacks during execution, due to their distributed and large-scale features. The applicati...
Xuanhua Shi, Jean-Louis Pazat, Eric Rodriguez, Hai...
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
In recent years, comprehensive problem solving by artefact designers has been required as demands related to artefacts become greater and more complicated. In relation to this back...
Kiyotaka Takahashi, Aki Sugiyama, Yoshiki Shimomur...