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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.…
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Keywords:
projection metric;
metric learning;
grassmann manifolds;
distance ... See more keywords
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Published in 2019 at "Differential Geometry and its Applications"
DOI: 10.1016/j.difgeo.2018.09.005
Abstract: Abstract In this paper we completely classify the linearly full homogeneous holomorphic two-spheres in the complex Grassmann manifolds G ( 2 , N ) and G ( 3 , N ) . We also obtain…
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Keywords:
complex grassmann;
grassmann manifolds;
homogeneous holomorphic;
holomorphic two ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2975394
Abstract: The objective of self-expression based spectral clustering is to learn an affinity matrix which accurately reflects the similarity among data, and the Laplacian constraint is usually exploited to make the affinity matrix preserve the global…
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Keywords:
grassmann manifolds;
graph grassmann;
learning adaptive;
neighborhood ... See more keywords
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Published in 2020 at "Mathematica Slovaca"
DOI: 10.1515/ms-2017-0425
Abstract: Abstract We prove that the topological complexity of a quaternionic flag manifold is half of its real dimension. For the real oriented Grassmann manifolds G͠n,k, 3 ≤ k ≤ [n/2], the zero-divisor cup-length of the…
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Keywords:
topological complexity;
grassmann manifolds;
complexity grassmann;
complexity ... See more keywords