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To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel feedback mechanism which is based on both instance and keyword features. In offline part, keyword space model is first constructed and updated using manifold ranking annotation; in online image retrieval and feedback part, the keywords which is return to user for labeling...
Many previous studies have shown that naturally occurring data cannot possibly fill up the high dimensional space uniformly, rather it must concentrate around lower dimensional structure. The typical supervised subspace learning algorithms to discover this low dimensional structure include Linear Discriminant Analysis (LDA). For LDA, the training data points are usually pre-given. However, in some...
Recently, multiple kernel learning (MKL) methods have shown promising performance in image classification. As a sort of supervised learning, training MKL-based classifiers relies on selecting and annotating extensive dataset. In general, we have to manually label large amount of samples to achieve desirable MKL-based classifiers. Moreover, MKL also suffers a great computational cost on kernel computation...
The rapid growth of computer technologies and the advent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR) system has been developed as an efficient image retrieval tool, whereby the user can provide their query to the system to allow it to retrieve the user's desired image from the image database. However, the traditional...
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