Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NPhard problem. In the case of a dictionary whose elements form ...
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...
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Mobility and channel modeling is a very crucial task for the simulation of Vehicular Ad Hoc Network (VANET) scenarios. In this paper we present a new mobility modeling approach fo...
This paper presents an XML-based approach to implementing the parametric model of temporal databases. In the parametric model, attribute values are functions of time and the entir...