Abstract— The problem of estimating the intensity process of a doubly stochastic Poisson process is analyzed. Using covariance information, a recursive linear minimum mean-square...
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
—In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by s...
Kilian von Neumann-Cosel, Erwin Roth, Daniel Lehma...
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...