Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Precise run-time prediction suffers from a complexity problem when doing an integrated analysis. This problem is characterised by the conflict between an optimal solution and the c...
Henrik Theiling, Christian Ferdinand, Reinhard Wil...
In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost fun...
G. Van Meerbergen, Maarten Vergauwen, Marc Pollefe...
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that...
Michael Terribilini, Jeffry D. Sander, Jae-Hyung L...