This paper presents a new technique for approximating range images by means of adaptive triangular meshes with a bounded approximation error and without applying optimization. Thi...
The noisy channel model approach is successfully applied to various natural language processing tasks. Currently the main research focus of this approach is adaptation methods, ho...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Today, the development of a VR application is still a long and difficult task as new features are being developed for Virtual Reality. There is a need to have better modelling tool...
In this paper, we propose a new approach to enforcing the passivity of a reduced system of general passive linear time invariant circuits. Instead of making the reduced models pas...
Boyuan Yan, Pu Liu, Sheldon X.-D. Tan, Bruce McGau...