—In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where p...
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Abstract: With today’s available computer power, free energy calculations from equilibrium molecular dynamics simulations “via counting” become feasible for an increasing num...
Background: Defects are related to failures and they do not have much power for indicating a higher quality or a better system above the baseline that the end-users expect. Nevert...
We identify common hypotheses on which a large number of distinct mathematical models of WLANs employing IEEE 802.11 are founded. Using data from an experimental test bed and packe...