We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
To achieve scalability of query answering, the developers of Semantic Web applications are often forced to use incomplete OWL 2 reasoners, which fail to derive all answers for at ...
Bernardo Cuenca Grau, Boris Motik, Giorgos Stoilos...
Abstract. We present a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other related state of the art tech...
The need to provide remote visualization of large datasets with adequate levels of quality and interactivity has become a major impediment to distributed collaboration in Computat...
Jin Ding, Jian Huang, Micah Beck, Shaotao Liu, Ter...