Ontology-driven hierarchical sparse coding for large-scale image classification

Neurocomputing, pp. 209-219, 2019.

Cited by: 1|Views83
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments