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Deep Belief Network (DBN) is a classic deep learning model, and it can learn higher feature and do better classification job. We combine DBN's basic component Restricted Boltzmann Machines (RBM) with the statistic distribution of Polarimetric SAR (PolSAR) data. Based on it, we develop a deep learning classification method that is suitable for PolSAR data. To verify the effectiveness of the method,...
Frequent items detection is one of the valuable techniques in many applications, such as network monitor, network intrusion detection, worm virus detection, and so on. This technique has been well studied on deterministic databases. However, it is a new task on emerging uncertain database. In this paper, a new definition of frequent items detection on uncertain data is defined. Based on it, two efficient...
The deficiency in practical work of traditional IDEF0 function-modeling method is discussed. And then the IFEF0 method is improved in three aspects, and a new method named improved IDEF0 method is presented. The meaning, characteristics, and the researching idea of Efficient Support (ES) are introduced, and the function model of Efficient Support System (ESS) is given which is established by the Improved...
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