Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Low-density parity-check codes using the beliefpropagation decoding algorithm tend to exhibit a high error floor in the bit error rate curves, when some problematic graphical stru...
While using how-to documents for guidance in performing computer-based tasks, users often run into problems due to inaccurate, out-of-date and incomplete documentation. These prob...
Gahgene Gweon, Lawrence D. Bergman, Vittorio Caste...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
It is a widely held belief among designers of social tagging systems that tag clouds represent a useful tool for navigation. This is evident in, for example, the increasing number ...
Denis Helic, Christoph Trattner, Markus Strohmaier...