Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes (Q5380581)

scientific article; zbMATH DE number 7062787

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English	Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes	scientific article; zbMATH DE number 7062787

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instance of

scholarly article

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title

Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes (English)

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5 June 2019

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full work available at URL

https://arxiv.org/abs/1601.00238

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describes a project that uses

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MaRDI publication profile

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cites work

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Learning the parts of objects by non-negative matrix factorization

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Fast rates for empirical vector quantization

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Nonasymptotic bounds for vector quantization in Hilbert spaces

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On the training distortion of vector quantizers

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Rates of convergence in the source coding theorem, in empirical quantizer design, and in universal lossy source coding

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$K$-Dimensional Coding Schemes in Hilbert Spaces

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A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data

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A central limit theorem for k-means clustering

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Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering

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Adaptive Relevance Matrices in Learning Vector Quantization

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Distance Learning in Discriminative Vector Quantization

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Sharper bounds for Gaussian and empirical processes

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Identifiers

zbMATH Open document ID

1474.68315

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DOI

10.1162/NECO_a_00872

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5380581