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. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
In this paper we explore the algorithmic space in which stripification, simplification and geometric compression of triangulated 2-manifolds overlap. Edge-collase/uncollapse based...
Pablo Diaz-Gutierrez, Meenakshisundaram Gopi, Rena...
In this paper, we study the maintenance of role-based access control (RBAC) models in database environments using transitive closure relations. In particular, the algorithms that ...
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...