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Dynamic cerebral perfusion computed tomography (DCPCT) has the ability to evaluate the hemodynamic information throughout the brain. However, due to multiple 3-D image volume acquisitions protocol, DCPCT scanning imposes high radiation dose on the patients with growing concerns. To address this issue, in this paper, based on the robust principal component analysis (RPCA, or equivalently the low-rank...
Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
The growth and popularity of Web services make personalized recommendation as one of the most important research issues in service computing, which can help service users find the optimal Web services from large functionally equivalent service candidates according to the Quality-of-Service (QoS). Although significant works have been done on improving prediction accuracy by employing collaborative...
Traditional Chinese Medicine (TCM) is a discipline of clinical medicine, which focuses on individualized diagnosis and treatment based on observation of the clinical manifestations of real-world patients. The complicated interactions between different medical entities play significant role for individualized treatment. In this paper, we aim to find out the meaningful herb-symptom relationship from...
This research is about an adaptive smart home system, and in this paper I bring in two learning algorithms. Don't like other smart home system, the central controller and all household appliances work like one machine in this system. The central controller uses the feedback information from the household appliances to find out the user's habits, and then adjust the system to adapt to the user. This...
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