Results 41 to 50 of about 4,797,118 (337)
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks [PDF]
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
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.
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Interpolation spaces and the CLT in Banach spaces [PDF]
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
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Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data
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.
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
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
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The proper interpolation space for multivariate Birkhoff interpolation
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
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Interpolation by Weak Chebyshev Spaces
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
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A space-time hp-interpolation-based certified reduced basis method for Burgers' equation
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
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
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