Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
A method for measuring inter-symbol interference, duty cycle distortion, random jitter and periodic jitter is described. The Blackman-Tukey method of signal analysis is used. This...
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
In this paper we propose an original and fast design space exploration method targeting reconfigurable architectures. This method takes place during the first steps of a design fl...