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In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sentiment classifier often performs extremely bad. This is so-called domain-transfer problem. In this work, we attempt to attack this problem by making the maximum use of both the old-domain data and the unlabeled new-domain data. To...
When an image database is queried with a particular example image ("show me similar images"), the corresponding feature vector is computed and the most similar feature vectors from the database are searched to display the most similar images in the database. This paper presents the design and implementation of a high-dimensional index application to facilitate the speedy searching in feature...
Language model is widely used in many retrieval systems. Its document representation is based on the bag of words assumption. Hence, each term in document is treated as an equal object and only the term frequency is considered as the evidence of the importance of term. In this paper, we study the problem of cognition attention attenuation in processing documents and present a cognition attention attenuation...
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