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2015

2015

- Ankita Shukla, Saket Anand
- 2015

Distance metric learning has proven to be very successful in various problem domains. Most techniques learn a global metric inâ€¦Â (More)

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2015

2015

- Yiyuan She, Dapeng Wu
- 2015

Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers andâ€¦Â (More)

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2013

2013

Applications of multiple input and multiple output (MIMO) with Stiefel manifold are growing in the next generation communicationsâ€¦Â (More)

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2010

2010

- Jianqing Suo
- 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 manifoldâ€¦Â (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 originalâ€¦Â (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 smoothâ€¦Â (More)

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Review

2008

Review

2008

- Kurt Jetter
- 2008

Learning theory studies data structures from samples and aims at understanding unknown function relations behind them. This leadsâ€¦Â (More)

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2006

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 calledâ€¦Â (More)

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1994

1994

- Weiyong Yan, Uwe Helmke, John B. Moore
- IEEE Trans. Neural Networks
- 1994

A detailed study of Oja's learning equation in neural networks is undertaken in this paper. Not only are such fundamental issuesâ€¦Â (More)

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