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We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures using the induced k-bisecting clustering algorithm. Evaluation on Wikipedia articles shows that clusters of keywords correlate strongly with
Research on cross-language information retrieval (CLIR) increasingly concentrates in candidate translation selection of the keywords in the query. The accuracy of translation has a direct impact on accurate rate and recalled rate. This thesis presents three methods based on HowNet to resolve query translation
The amount of multimedia information is rapidly increasing due to digital cameras. To interpret semantic of image, many researcher use keywords as textual annotation. Image semantic information retrieval became attractive for many peoples. Concept recognition is a key problem in semantic information searching. A new
An intelligent model of relative words that concerns semantic similarity is discussed in this paper. Based on this model, a knowledge system capable of semantically calculating and associating has been developed, which enables adapting and/or extending keywords in search process. This paper aims to make information
In this article, we propose a method for improving the estimates of the absolute positions of cars. In the proposed method, each car measures its velocity, the absolute position, and the relative distance to a car in front, and uploads these measurements to a server. Using these measurements, the server computes the estimates of the cars' positions by means of the Kalman filter. This method can estimate...
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