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An interesting target detection framework with transferred deep convolutional neural network (CNN) is proposed. For CNN, many labeled samples are needed to train the multi-layer network. However, for target detection tasks, only few target spectral signatures are available, or they are unknown in anomaly detection. In this work, we employ a reference data and further generate pixel-pairs to enlarge...
When the agent has the motivation fairness preference, the principal of sufficient statistics advocated by the classical contract theory is no longer tenable. By incorporating Rabin motivation fairness model into the classical contract theory, we draw two conclusions: Firstly the optimal contract is over-determinate. That is to say, the optimal incentive contract based on complete information should...
The least total cost method has been proposed by the existing literature to identify the optimal scheme of equipment renewal when the lifetime of project is limited. But this method does not take account into the condition that the renewed equipment will need to be renewed again when its service time exceeds its economic life limit. Hence, the scheme, chosen by this method is not absolutely the optimal...
People are not always self-interested, but still have certain altruistic favor, which has certain gender difference. The everyday experience "men are rational animals, while women are sentimental animals" is proved to some extent in the experiments, while the difference is not quite significant in statistics. It shows that girls are more slightly self-interested than boys, while boys are...
Although the Shapley value method can realize the fair income distribution of the R&D alliance, it cannot achieve the Pareto efficiency. We consider a R&D alliance with a supervisor as the third party in uncertain environments. When the alliance income exceeds the predetermined target income, the alliance income ought to be distributed completely among the R&D enterprises according...
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