Ontology-driven hierarchical sparse coding for large-scale image classification
Neurocomputing, pp. 209-219, 2019.
An ontology-driven hierarchical sparse representation is developed in this paper, which aims to support hierarchical learning for large scale image classification. Firstly, a two-layer ontology (semantic ontology and visual ontology) is built to organize large number of image classes hierarchically, where WordNet is used to construct sema...More
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