Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00927-4
Abstract: The requirement for suitable ways to measure the distance or similarity between data is omnipresent in machine learning, pattern recognition and data mining, but extracting such good metrics for particular problems is in general challenging.… read more here.
Keywords: projection metric; metric learning; grassmann manifolds; distance ... See more keywords
Locality-aware group sparse coding on Grassmann manifolds for image set classification
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DOI: 10.1016/j.neucom.2019.12.026
Abstract: Abstract Riemannian sparse coding methods are attracting increasing interest in many computer vision applications, relying on its non-Euclidean structure. One such recently successful task is image set classification by the aid of Grassmann Manifolds, where… read more here.
Keywords: image; classification; sparse coding; locality ... See more keywords
On the 3D consistency of a Grassmann extended lattice Boussinesq system
Sign Up to like & getrecommendations! Published in 2020 at "Nuclear Physics B"
DOI: 10.1016/j.nuclphysb.2019.114878
Abstract: In this paper, we formulate a "Grassmann extension" scheme for constructing noncommutative (Grassmann) extensions of Yang-Baxter maps together with their associated systems of P$\Delta$Es, based on the ideas presented in \cite{Sokor-Kouloukas}. Using this scheme, we… read more here.
Keywords: boussinesq system; lattice boussinesq; grassmann;