Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
The reconvergence of routing protocols in response to changes in network topology can impact application performance. While improvements in protocol specification and implementati...
Amogh Dhamdhere, Lee Breslau, Nick G. Duffield, Ch...
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...