stiefel

 
National Institutes of Health

Topic mentions per year

Topic mentions per year

1992-2015
012319922015

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2015
2015
Distance metric learning has proven to be very successful in various problem domains. Most techniques learn a global metric in… (More)
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2015
2015
Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and… (More)
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2013
2013
Applications of multiple input and multiple output (MIMO) with Stiefel manifold are growing in the next generation communications… (More)
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2010
2010
Introduction. Let G be a compact connected Lie group and H a closed subgroup of G. Then the coset space G/H is a smooth manifold… (More)
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2009
2009
We give an efficient, quick algorithm for the minimization of a quadratic function over Stiefel manifold. We reduce the original… (More)
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2009
2009
  • 2009
The usual unitary representations of the special unitary, symplectic, or special orthogonal groups define a sequence of smooth… (More)
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Review
2008
Review
2008
Learning theory studies data structures from samples and aims at understanding unknown function relations behind them. This leads… (More)
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Review
1998
Review
1998
The aim of this paper is to present a new class of learning models for linear as well as non-linear neural layers called… (More)
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1994
1994
A detailed study of Oja's learning equation in neural networks is undertaken in this paper. Not only are such fundamental issues… (More)
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