Torsion and the second fundamental form for distributions
The second fundamental form of Riemannian geometry is generalised to the case of a manifold with a linear connection and an integrable distribution. This bilinear form is generally not symmetric and its skew part is the torsion.
Prince, G. E.
core
Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods
Single-trial motor imagery classification is a crucial aspect of brain–computer applications. Therefore, it is necessary to extract and discriminate signal features involving motor imagery movements.
Ikhtiyor Majidov, Taegkeun Whangbo
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Riemannian geometry-based transfer learning for reducing training time in c-VEP BCIs. [PDF]
Ying J, Wei Q, Zhou X.
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Combinatorial Optimization with Information Geometry: The Newton Method
e discuss the use of the Newton method in the computation of max(p → Εp [f]), where p belongs to a statistical exponential family on a finite state space.
Luigi Malagò, Giovanni Pistone
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Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals. [PDF]
Wriessnegger SC+3 more
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The place of Dirac's Equation in Five-Dimensional Riemannian Geometry [PDF]
H.W. Haskey
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The connection and the normal to a hypersurface in the riemannian space from the point of affine geometry [PDF]
František Nožička
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Integrable Equations and Their Evolutions Based on Intrinsic Geometry of Riemann Spaces
The intrinsic geometry of surfaces and Riemannian spaces will be investigated. It is shown that many nonlinear partial differential equations with physical applications and soliton solutions can be determined from the components of the relevant metric ...
Paul Bracken
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Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals. [PDF]
Wriessnegger SC+3 more
europepmc +1 more source
Relative Riemannian Geometry I. On the affine connection [PDF]
Makoto Matsumoto
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