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Dramatic growth of e-book sales revenue in recent years makes book recommendations essential to readers. Traditional bag-of-words models have difficulty of capturing the spatial information of terms over books. In this paper, a three-layer tree structure is used for representing each book. A framework, Tree2Vector, is designed for transforming tree-based book data into vectorial space. First, in order...
Recent studies show that different features can represent different characteristics of hyperspectral images, and a combination of them would have positive influence on classification. In this paper, we formulate the multifeature hyperspectral image classification as a joint sparse representation model which simultaneously represents the pixels of multiple features (spectral, shape, and texture) with...
Polarimetric target decomposition aims to decompose a polarimetric synthetic aperture (PolSAR) data on a base reflecting some scattering mechanisms. The corresponding coefficients will be further exploited as the feature vector for the subsequent interpretation task. Intuitively, its performance heavily depends on the choice of bases and many off-the-shelf ones have been constructed based on mathematical...
In this paper, a novel method for water/land segmentation is proposed based on the framework of geodesic distance. The proposed method models the water/land according to the statistics of both the speckle and land covers, which leads to a fast point-wised coarse segmentation. Based on the water/land models, the boundary area between water and land can be localized with automatically generated class...
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