Results 41 to 50 of about 4,797,118 (337)

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2018
Generative Adversarial networks (GANs) have obtained remarkable success in many unsupervised learning tasks and unarguably, clustering is an important unsupervised learning problem.
Sudipto Mukherjee   +3 more
semanticscholar   +1 more source

Notes on non-interpolation spaces

open access: yesJournal of Approximation Theory, 1989
AbstractSome general examples of non-interpolation pairs and spaces are presented. Necessary conditions for interpolation are established which determine the first type of examples. Constructions connected with the relative completion and a property of the K-functional provide the second class of examples. These techniques provide new information about
Maligranda, Lech, Mastylo, M.
openaire   +3 more sources

Interpolation spaces and the CLT in Banach spaces [PDF]

open access: yes, 2009
Necessary and sufficient conditions for the classical central limit theorem (CLT) for i.i.d. random vectors in an arbitrary separable Banach space require not only assumptions on the original distribution, but also on the sample. What we do here is to continue our study of the CLT in terms of the original distribution.
Kuelbs, Jim, Zinn, Joel
openaire   +2 more sources

Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data

open access: yesInformation, 2018
Clustering algorithms in the high-dimensional space require many data to perform reliably and robustly. For multivariate volume data, it is possible to interpolate between the data points in the high-dimensional attribute space based on their spatial ...
Vladimir Molchanov, Lars Linsen
doaj   +1 more source

Set approximation by lemniscates and the spectrum of an operator on an interpolation space.

open access: yes, 1969
containing set, for the spectrum of the operator on the interpolation space in terms of the spectra of the operator on the given two spaces. This upper bound is the best possible one that depends only on the given two spectra. Theorem 6.10 shows that the
James D. Stafney
semanticscholar   +1 more source

Local uniform convexity and Kadec-Klee type properties in K-interpolation spaces I: General Theory

open access: yesJournal of Function Spaces and Applications, 2004
We present a systematic study of the interpolation of local uniform convexity and Kadec-Klee type properties in K-interpolation spaces. Using properties of the K-functional of J.Peetre, our approach is based on a detailed analysis of properties of a ...
Peter G. Dodds   +3 more
doaj   +1 more source

The proper interpolation space for multivariate Birkhoff interpolation

open access: yesJournal of Computational and Applied Mathematics, 2011
AbstractMultivariate Birkhoff interpolation problem has many important applications, such as in finite element method. In this paper two algorithms are given to compute the basis of the minimal interpolation space and the lower interpolation space respectively for an arbitrary given node set and the corresponding interpolation conditions on each node ...
Junjie Chai, Ying Li, Na Lei, Peng Xia
openaire   +2 more sources

Interpolation by Weak Chebyshev Spaces

open access: yesJournal of Approximation Theory, 2000
AbstractWe present two characterizations of Lagrange interpolation sets for weak Chebyshev spaces. The first of them is valid for an arbitrary weak Chebyshev space U and is based on an analysis of the structure of zero sets of functions in U extending Stockenberg's theorem.
Davydov, Oleg, Sommer, Manfred
openaire   +3 more sources

A space-time hp-interpolation-based certified reduced basis method for Burgers' equation

open access: yes, 2014
We present a space-time interpolation-based certified reduced basis method for Burgers' equation over the spatial interval (0, 1) and the temporal interval (0, T] parametrized with respect to the Peclet number.
M. Yano, A. Patera, K. Urban
semanticscholar   +1 more source

Scaling up and down of 3-D floating-point data in quantum computation

open access: yesScientific Reports, 2022
In the past few decades, quantum computation has become increasingly attractive due to its remarkable performance. Quantum image scaling is considered a common geometric transformation in quantum image processing, however, the quantum floating-point data
Meiyu Xu, Dayong Lu, Xiaoyun Sun
doaj   +1 more source

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