High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Our productivity centered performance tuning framework for HPC applications comprises of three main components: (1) a versatile source code, performance metrics, and performance d...
— We suggest that people’s responses to a robot of which attention starts to be distracted show whether they accept the robot as an intentional communication partner or not. Hu...
— Graphical User Interface (GUI) APplications (GAPs) are ubiquitous and provide various services. However, it is difficult to make GAPs exchange information (i.e., interoperate)...
Mark Grechanik, Kevin M. Conroy, Kishore S. Swamin...
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...