: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Fluorescent microscopy of biological samples allows noninvasive screening of specific molecular events in-situ. This approach is useful for investigating intricate signalling path...
Shaun Fitch, Trevor Jackson, Peter Andras, Craig R...
Animal development can be described as a complex, threedimensional cellular system that changes dramatically across time as a consequence of cell proliferation, differentiation an...
Stephan Preibisch, Radoslaw Ejsmont, Torsten Rohlf...
— We describe a formal approach to the analysis of security aspects of an identity federation protocol for web services in convergent networks. This network protocol was proposed...
Maurice H. ter Beek, Corrado Moiso, Marinella Petr...