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In this paper, we propose a new sparse multiple-kernel learning (MKL) method for classification of hyperspectral images. The proposed method adopts two-step strategy to carry out model learning from multiple basis kernels rather than simultaneously optimizing the kernel combination and learning performance. In the first step, we firstly reformulate the multiple-kernel learning so as to making the...
High-quality cameras are a standard feature of mobile platforms, but the computational capabilities of mobile processors limit the applications capable of exploiting them. Emerging mobile application domains, for example mobile augmented reality (MAR), rely heavily on techniques from computer vision, requiring sophisticated analyses of images followed by higher-level processing. An important class...
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