Abstract: Highlights•A visual concept network is built to characterize the inter-concept correlations.•An automatic algorithm is proposed for identifying the visually similar groups.•A new algorithm is developed to learn group-based discriminative dictionaries.•A structural method is developed for classifier training and image classification.•Our proposed algorithms are evaluated on multiple popular visual benchmarks.
External IDs:dblp:journals/pr/LeiMZDZF14
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