We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
Abstract. Asynchronous automata are parallel compositions of finitestate processes synchronizing over shared variables. A deep theorem due to Zielonka says that every regular trac...
Blaise Genest, Hugo Gimbert, Anca Muscholl, Igor W...
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
A computer graphics object reconstructed from real-world data often contains undesirable noise and small-scale oscillations. An important problem is how to remove the noise and os...
Yutaka Ohtake, Alexander G. Belyaev, Ilia A. Bogae...