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Traditional feature encoding scheme (e.g., Fisher vector) with local descriptors (e.g., SIFT) and recent convolutional neural networks (CNNs) are two classes of successful methods for image recognition. In this paper, we propose a hybrid representation, which leverages the discriminative capacity of CNNs and the simplicity of descriptor encoding schema for image recognition, with a focus on scene...
To solve the problem of lacking sophisticated model integration method in emergency management field, this paper proposes a scenario model of emergency management system firstly. Then a knowledge element network model of the scenario model is constructed based on knowledge element model. Through extracting a model network from knowledge element network, a hierarchical network model of emergency is...
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