Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
Model transformation has become one of the most focused research field, motivated by for instance the OMG's Model-Driven Architecture (MDA). Metamodeling is a central techniq...
Shell becomes popular in a variety of modeling techniques for representing small-scale features and increasing visual complexity. Current shell generation algorithms do not measur...
Jin Huang, Xinguo Liu, Haiyang Jiang, Qing Wang, H...
This article describes an algorithm called HyperLex that is capable of automatically determining word uses in a textbase without recourse to a dictionary. The algorithm makes use ...
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...