Not all operating systems are created equal. Contrasting traditional monolithic kernels, there is a class of systems called microkernels more prevalent in embedded systems like ce...
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
—In a number of scenarios, services generated using a model-driven development (MDD) approach could benefit from “reflective” access to the information in the models from w...
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...