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SUMMARY This paper discusses the issues involved in the design of a complete information retrieval system for DataSpace based on user relevance probabilistic schemes. First, Information Hidden Model (IHM) is constructed taking into account the users' perception of similarity between documents. The system accumulates feedback from the users and employs it to(More)
This paper proposes a probabilistic Latent Emotion Analysis (pLEA) model, which is an extension of probabilistic Latent Semantic Analysis (pLSA) model, to discover latent emotion topics considering theoretical and empirical concepts from psychology and art theory. The traditional pLSA models performed poorly since the statistical model are hardly narrowing(More)
This paper presents a novel template matching algorithm that copes with the occlusion on the target image. Most of the previous methods are sensitive to the occlusion because it induces some patches with similar semantic concepts but distinct appearances. Thus the template matching algorithm hardly accomplishes the task based on the appearance similarity(More)
It is essential to detect the state of EMU's component while running, since any small and subtle failure may cause major accidents in high-speed running. The traditional detection approach adopts the image matching technology, which suffers from the problem when the two images dislocation. The drawback stems from the image matching approach based on the(More)
The locomotive drivers keep calm mood is the first condition in driving high-speed rail safely. Since different scenarios during their journeys tend to evoke a wide range of moods, how to infer the driver's emotional state as well as cause a warning is the primary means to reduce mood swings. This paper proposes a mood recognition method. Specially, the 1 /(More)