Xiaohao Yu

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Inspired by recent advances in deep learning, this paper reviews the deep learning methodologies and its applications in object tracking. To overcome the complexity and low-efficiency of existing full-connected deep learning based tracker, we use a novel convolutional deep belief network (CDBN) with convolution, weights sharing and pooling to have much(More)
A key challenge in composite web processes is that the quality of participating services changes during the life time of the process. It is necessary to find an available equivalent service to substitute the failed component which has been made unavailable. In this paper different from the previous method based on recompositing the web process, we present(More)
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