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Hilbert space

Known as: Linear Algebra/Hilbert Spaces, Hilbert space dimension, Separable Hilbert space 
The mathematical concept of a Hilbert space, named after David Hilbert, generalizes the notion of Euclidean space. It extends the methods of vector… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
This book provides a largely self-contained account of the main results of convex analysis and optimization in Hilbert space. A… Expand
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Highly Cited
2007
Highly Cited
2007
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach… Expand
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Highly Cited
2005
Highly Cited
2005
Several methods for solving systems of equilibrium problems in Hilbert spaces – and for finding best approximations thereof – are… Expand
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Highly Cited
2004
Highly Cited
2004
1 Theory.- 2 RKHS AND STOCHASTIC PROCESSES.- 3 Nonparametric Curve Estimation.- 4 Measures And Random Measures.- 5 Miscellaneous… Expand
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Highly Cited
2004
Highly Cited
2004
We propose a novel method of dimensionality reduction for supervised learning problems. Given a regression or classification… Expand
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Highly Cited
2004
Highly Cited
2004
This paper describes the Jensen-Shannon divergence (JSD) and Hilbert space embedding. With natural definitions making these… Expand
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Highly Cited
2001
Highly Cited
2001
A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partial… Expand
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Highly Cited
2001
Highly Cited
2001
Several schemes for the linear mapping of a multidimensional space have been proposed for various applications, such as access… Expand
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Highly Cited
1966
Highly Cited
1966
The purpose of this note is to show that a close relationship exists between the notions of majorization, factorization, and… Expand
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Highly Cited
1964
Highly Cited
1964
This note gives a construction for minimizing certain twice-differentiable functions on a closed convex subset C, of a Hubert… Expand
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