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Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification
In this paper, we propose a supervised dictionary learning algorithm in the kernel domain for hyperspectral image classification.
Quality-based Multimodal Classification Using Tree-Structured Sparsity
An accelerated proximal algorithm is proposed to solve the optimization problem, which is an efficient tool for feature-level fusion among either homogeneous or heterogeneous sources of information.
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