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In computer vision tasks such as action recognition and image classification, combining multiple visual feature sets is proven to be an effective strategy. However, simply combing these features may cause high dimensionality and lead to noises. Feature selection and fusion are common choices for multiple feature representation. In this paper, we propose a multi-view feature selection and fusion method...
The need for richer descriptions of images arises in a wide spectrum of applications ranging from image understanding to image retrieval. While the Automatic Image Annotation (AIA) has been extensively studied, image descriptions with the output labels lack sufficient information. This paper proposes to augment image descriptions using structured prediction output. We define a hierarchical tree-structured...
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