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...
We develop an information?theoretic analysis of dependencies between image wavelet coefficients. The dependencies are measured using mutual information, which has a direct link wi...
An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity meas...
This paper derives the multi-layer heat conduction Green’s function, by integrating the eigen-expansion technique and the classic transmission line theories, and presents a loga...
Abstract. The automatic detection of shared content in written documents –which includes text reuse and its unacknowledged commitment, plagiarism– has become an important probl...