Jun 5, 2015 · In this paper, we address the problem of finding these clusters in sets of semantically similar images, prior to tree reconstruction. We propose ...
Abstract—The ever-increasing number of gadgets being used to create digital content, as well as the easiness in sharing, editing,.
In this paper, we address the problem of finding these clusters in sets of semantically similar images, prior to tree reconstruction. We propose the combination ...
The combination of manifold learning and spectral clustering approaches, which have been successfully used in different applications embedding the original data ...
Feb 5, 2016 · The results show that the proposed approach is a competitive solution for image phylogeny forests reconstruction, achieving better or equivalent ...
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2014.2340017). • M. A. Oikawa, Z. Dias, A. Rocha, and S. Goldenstein, “Manifold Learning and Spectral Clustering for. Image Phylogeny Forests”, IEEE ...
Manifold learning and spectral clustering for image phylogeny forests. MA Oikawa, Z Dias, A de Rezende Rocha, S Goldenstein. IEEE Transactions on Information ...
Manifold learning and spectral clustering for image phylogeny forests · AR-based video-mediated communication: a social presence enhancing experience · Image ...
Feb 12, 2016 · A new approach using manifold learning and spectral clustering is devised to obtain a better representation of the data points distribution and, ...