We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
Abstract--We present a method to extract and visualize vortices that originate from bounding walls of three-dimensional timedependent flows. These vortices can be detected using th...
Alexander Wiebel, Xavier Tricoche, Dominic Schne...
Due to the large number of attacks on open networks, information theft becomes a more and more severe problem. Secure computation can offer highly assured confidentiality protecti...
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...