Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Problems resulting from the management of shared, distributed knowledge has led to ontologies being employed as a solution, in order to effectively integrate information across a...
Wireless communication of video poses constraints on information capacity. Region-of-Interest (ROI) video coding provides higher quality in the ROI, but poorer quality in the back...
Schedulability analysis of fixed priority preemptive scheduled systems can be performed by calculating the worst-case response-time of the involved processes. The system is deemed...