This paper addresses the problem of selection and discovery of a consistent availability monitoring overlay for computer hosts in a large-scale distributed application, where host...
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
We describe a model-based construction of an online tester for black-box testing of implementation under test (IUT). The external behavior of the IUT is modeled as an output obser...
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...