Ontology type: schema:Chapter Open Access: True
2017-10-24
AUTHORSIoana Ilea , Lionel Bombrun , Salem Said , Yannick Berthoumieu
ABSTRACTThis paper introduces a novel local model for the classification of covariance matrices: the co-occurrence matrix of covariance matrices. Contrary to state-of-the-art models (BoRW, R-VLAD and RFV), this local model exploits the spatial distribution of the patches. Starting from the generative mixture model of Riemannian Gaussian distributions, we introduce this local model. An experiment on texture image classification is then conducted on the VisTex and Outex_TC000_13 databases to evaluate its potential. More... »
PAGES736-744
Geometric Science of Information
ISBN
978-3-319-68444-4
978-3-319-68445-1
http://scigraph.springernature.com/pub.10.1007/978-3-319-68445-1_85
DOIhttp://dx.doi.org/10.1007/978-3-319-68445-1_85
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