This paper presents a cross-media semantic mining model （CSMM） based on object semantic. This model obtains object-level semantic information in terms of maximum probability principle. Then semantic templates are tr...
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This paper presents a cross-media semantic mining model （CSMM） based on object semantic. This model obtains object-level semantic information in terms of maximum probability principle. Then semantic templates are trained and constructed with STTS （Semantic Template Training System）, which are taken as the bridge to realize the transition from various low-level media feature to object semantic. Furthermore, we put forward a kind of double layers metadata structure to efficaciously store and manage mined low-level feature and high-level semantic. This model has broad application in lots of domains such as intelligent retrieval engine, medical diagnoses, multimedia design and so on.
This paper is mainly devoted to identify an evolutionary approach based on search strategy, namely multiobjective evolutionary algorithm for indoor positioning (MEIP). Each subproblem is optimized by information from ...
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Domain models can provide a problem-oriented architecture for the application domain. But the adaptability of domain models will inevitably descend with the development of domain. Thus, the ability of domain models to...
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Binary particle swarm optimization (BPSO) is the discrete binary version of particle swarm optimization (PSO) which is based on a metaphor of social behavior of birds and is a new kind of evolutionary computation para...
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To meet the dynamic spectrum access of Cognitive Radio (CR), the selfish game-theoretic model is identified for multi-hop networking with CR nodes, which matches well with the physical administrative structure in real...
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A simulated annealing genetic algorithm was put forward to solve the resource-constrained multi-project scheduling problem. The ordinary genetic algorithm and simulated annealing algorithm used in this method were imp...
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A systematic scheme to form the watershed computational platform was developed based on lightweight Grid technique in this paper. The scheme that takes advantage of widely deployed local network makes full use of the ...
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Clustering is one of the important means of Intrusion detection. In order to overcome the disadvantages of fuzzy C-means algorithm, this paper presents a kind of improved fuzzy C-means algorithm (IFCM for short). IFCM...
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Skin detection is an important pre-process step in WEB image filter. Since color modal is based on pixel-level color information, the performance of skin detection on image with color deviation is poor. Automatic whit...
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