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Given the explosive growth of scientific information and the fast advancement of research fields, researchers may not be able to find the most promising topics to combine with their current research and may be trapped in a few familiar research topics without creative ideas. Many studies of recommendation system make the effort to address the above problem, but they ignore the different styles of...
This paper describes a grey-modeling method for small-scale unmanned helicopter that combines the advantages of first-principles modeling and system identification. First, a structure of the attitude model at hovering is developed by strict mechanism derivation and the unknown structural parameters are got. Then, a flying experiment was implemented to get the input and output data. Next, a method...
This paper reports optimization efforts on a layered search space method aimed at accelerating the recognition of a large prototype set. The layered search space method classifies similar prototypes into clusters. Representative prototypes, each for one of these clusters, are then selected and further classified into higher-level clusters, and so on. In finding a prototype, we first identify the highest-level...
Standardization is a basic principle to design the relational database, which guarantees the revision of data structure and the quality of reorganization, but when referring to data mining system, anti-standardization is needed for data warehouse design. This paper discusses the necessity of anti-standardization and the specific design methods. With the development of data mining application, the...
A novel semantic representation model based on Concepts and Knowledge Trees for the elements of news is described in this paper. The theoretical foundations about Concepts and Knowledge Trees are introduced briefly first. Then the key points of representing the semantic information of the four main news elements using the given model are explained respectively. Both advantages and disadvantages of...
Queries to search engine on the Internet are usually short, and cannot provide enough information for effective retrievals. Researchers have developed query expansion to cope with the problem and proved its usefulness. But previous researches have mainly on the general search engine and do not give the semantic enough attention. In this paper, we introduced a novel algorithm especially for the vertical...
Robust foreground segmentation is an essential step in many computer vision applications such as visual surveillance and behavior analysis. This paper proposes a subspace based background modeling and foreground segmentation algorithm, which improves the incremental background subspace learning in a robust manner. It can efficiently reduce the influence of the foreground pixels which are undesired...
A novel finite-state approach with the practical use of modal operators for Chinese partial parsing is presented in this paper. The traditional rule-based partial parsing approaches make use of regular grammar to approximate the context free or simplified context sensitive grammar with some loss of descriptive ability. Until now, how to solve the non-categorical problem within rule-based paradigm...
It is the core problem in building a fuzzy classification system to extract an optimal group of fuzzy classification rules from fuzzy data set. A new kind of algorithm is proposed for fuzzy rules' generating in this work. The idea behind the algorithm is mainly based on both, concepts of data mining and particle swarm optimization (PSO) algorithm. A fuzzy information entropy based measure which generalizes...
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