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Manifold integration

Manifold integration is a combined concept of manifold learning and data integration, or an extension of manifold learning for multiple measurements… 
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Papers overview

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2018
2018
In this paper, covariance matrices are exploited to encode the deep convolutional neural networks (DCNN) features for facial… 
2018
2018
We solve $$\square _b$$□b on a class of non-compact 3-dimensional strongly pseudoconvex CR manifolds via a certain conformal… 
2017
2017
In Part I of this thesis, we address the problem of manifold learning and clustering by introducing a novel constrained shortest… 
Highly Cited
2016
Highly Cited
2016
Industrial automation systems continuously get more complex and growing over time. This leads to an ever growing demand for… 
2014
2014
This Doctor of Philosophy submission comprises a folio of original compositions, including some audio and visual recordings, with… 
2011
2011
Let F m =( M, F) be a Finsler manifold and G be the Sasaki- Finsler metric on the slit tangent bundle TM 0 = TM � {0} of M.W e… 
2010
2010
Manifold learning has been successfully used for finding dominant factors (low-dimensional manifold) in a high-dimensional data… 
2010
2010
In data analysis, data points are usually analyzed based on their relations to other points (e.g., distance or inner product… 
1982
1982
The aim of the present paper is to discuss special concircular and recurrent projective motions in a Finsler manifold. The main…