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Convolutional Neural Networks (CNNs) have been widely adopted for many imaging applications. For image aesthetics prediction, state-of-the-art algorithms train CNNs on a recently-published large-scale dataset, AVA. However, the distribution of the aesthetic scores on this dataset is extremely unbalanced, which limits the prediction capability of existing methods. We overcome such limitation by using...
Reliability prediction models for Service Oriented Architecture (SOA) based applications have thoroughly discussed system level & component level details. However, significant difference between applications based on service-oriented architecture and traditional distributed application is marshaling of remote web services, nonetheless, reliability of these web services have not been discussed...
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