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pro vyhledávání: '"Shekhar Verma"'
Publikováno v:
Pattern Analysis and Applications. 24:1667-1683
The performance of graph-based learning techniques largely relies on the edges defined between the vertices of the graph. These edges that represent the affinity between vertices must be learned from data. In this paper, we propose statistical depend
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:1571-1590
The presence of inflection points on data manifold or rapid variation makes it difficult for the second order derivative based graph Laplacian and Hessian regularization techniques to accurately approximate the marginal distribution parameters. Moreo