Independent from specific application domains, similar requirements can be identified regarding information needs during daily work. For coping with generality on the one hand an...
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...
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
Gossip protocols have been proposed as a robust and efficient method for disseminating information throughout dynamically changing networks. We present an analysis of a gossip pro...
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...