As the gap between processor and memory performance widens, careful analyses and optimizations of cache memory behavior become increasingly important. While analysis of regular lo...
The classification of urban landscape in aerial LiDAR point clouds is useful in 3D modeling and object recognition applications in urban environments. In this paper, we introduce ...
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
A new graph reduction approach to symbolic circuit analysis is developed in this paper. A Binary Decision Diagram (BDD) mechanism is formulated, together with a specially designed ...
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...