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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.21823.

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2607.21823 v1

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measured 64 of 64 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

64 of 64 outbound references displayed

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Outbound references

Observation 2f7e6e8a-e33f-4af3-a42f-485af87e8929 · outbound

This paper cites Theory of reproducing kernels,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Theory of reproducing kernels,

Reference 1

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Observation 73b2d82d-b021-4709-84ec-b7c5c98d3392 · outbound

This paper cites The kernel trick for distances,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA The kernel trick for distances,

Reference 2

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Observation 2b094e07-0306-4606-ad5a-c5a896e5fb63 · outbound

This paper cites Universal kernels.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universal kernels

Reference 3

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Observation 3037c12a-e3f8-4661-9c88-5f0ec9c06f81 · outbound

This paper cites Universality, characteristic kernels and RKHS embedding of measures,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality, characteristic kernels and RKHS embedding of measures,

Reference 4

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Observation d4bcb8ff-de4c-42fb-88c8-ecf4a856003f · outbound

This paper cites Some results on Tchebycheffian spline functions,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Some results on Tchebycheffian spline functions,

Reference 5

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Observation 8601586a-bbe6-403d-8d21-8eee6d07ee61 · outbound

This paper cites Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV,

Reference 6

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Observation bfe174b0-a1c4-4a6d-b35c-65e32f58c39d · outbound

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A generalized representer theorem,

Reference 7

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Observation 310760ba-5ba1-4f5b-88c2-abd2181256cc · outbound

This paper cites Support-vector networks,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support-vector networks,

Reference 8

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Observation 275aa62a-ced8-4d42-90ff-fd8cf7364a06 · outbound

This paper cites Comparing support vector machines with Gaussian kernels to radial basis function classifiers,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Comparing support vector machines with Gaussian kernels to radial basis function classifiers,

Reference 9

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Observation 6df5bf85-dfc4-427c-a6fd-71815ed42c02 · outbound

This paper cites A practical approach to model selection for support vector machines with a Gaussian kernel,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A practical approach to model selection for support vector machines with a Gaussian kernel,

Reference 10

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Observation 9a794b76-3f2b-447d-b1f5-3343e2c88360 · outbound

This paper cites An approximation of the Gaussian RBF kernel for efficient classification with SVMs,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An approximation of the Gaussian RBF kernel for efficient classification with SVMs,

Reference 11

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Observation 7e0a037f-2b8d-45c9-ad27-edefc51d94c7 · outbound

This paper cites An on-chip-trainable Gaussian-kernel analog support vector machine,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An on-chip-trainable Gaussian-kernel analog support vector machine,

Reference 12

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Observation 3467d399-5e6d-46a7-8f0a-9d6112fed64a · outbound

This paper cites Parameter selection of Gaussian kernel for one-class SVM,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Parameter selection of Gaussian kernel for one-class SVM,

Reference 13

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Observation ff01341e-d0ca-4258-852c-fcfb94f847d5 · outbound

This paper cites Efficient model selection for support vector machine with Gaussian kernel function,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Efficient model selection for support vector machine with Gaussian kernel function,

Reference 14

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Observation 9db65239-fd9e-45f2-aa43-d04c3d252034 · outbound

This paper cites Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees,

Reference 15

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Observation 220b55e9-81fb-475b-9c9f-07027bd9f879 · outbound

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Scalable and memory-efficient kernel ridge regression,

Reference 16

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Observation cbd006c9-0e7c-4798-96e6-d144dc5d5daa · outbound

This paper cites Predicting nuclear masses with the kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Predicting nuclear masses with the kernel ridge regression,

Reference 17

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Observation 9e362942-dab7-44e3-a26a-53a0e1c19caa · outbound

This paper cites Kernel ridge regression-based chirplet transform for non-stationary signal anal- ysis and its application in machine fault detection under varying speed conditions,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression-based chirplet transform for non-stationary signal anal- ysis and its application in machine fault detection under varying speed conditions,

Reference 18

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Observation 825cbdf6-03cd-4824-a70b-e7618d7ad06f · outbound

This paper cites Divide and conquer kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Divide and conquer kernel ridge regression,

Reference 19

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Observation f0c4d3ee-1db3-4952-ba98-b47300ab141c · outbound

This paper cites Kernel ridge regression for general noise model with its application,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression for general noise model with its application,

Reference 20

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Observation 4f5029b0-a99b-4581-bd8f-00c6b5bc4370 · outbound

This paper cites Model selection in kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection in kernel ridge regression,

Reference 21

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Observation fd712fed-3378-43ff-bfae-5d29407d16ef · outbound

This paper cites Conformalized kernel ridge regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Conformalized kernel ridge regression,

Reference 22

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Observation 314acbe0-9c83-46d4-902f-1506759d372b · outbound

This paper cites Two-stage learning kernel algorithms,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Two-stage learning kernel algorithms,

Reference 23

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This paper cites Algorithms for learning kernels based on centered alignment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Algorithms for learning kernels based on centered alignment,

Reference 24

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Observation 9c9324f1-2ffe-4fb9-bd57-5cc3ce9e6238 · outbound

This paper cites Similarity of neural network representations revisited,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Similarity of neural network representations revisited,

Reference 25

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This paper cites Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Reference 26

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Observation 68a44e83-47d7-443d-bc1e-a580d08e1708 · outbound

This paper cites Emerging cross-lingual structure in pretrained language models,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging cross-lingual structure in pretrained language models,

Reference 27

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Observation 7df12d8c-5ffd-4e9b-9cfd-00b5455964c5 · outbound

This paper cites Universality and individuality in neural dynamics across large populations of recurrent networks,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality and individuality in neural dynamics across large populations of recurrent networks,

Reference 28

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Observation 6d3f63db-5ced-46d6-ad8f-4c2b412273c8 · outbound

This paper cites Identification of drug-side effect association via multiple information integration with centered kernel alignment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Identification of drug-side effect association via multiple information integration with centered kernel alignment,

Reference 29

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This paper cites Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns,

Reference 30

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This paper cites Available: https://www.sciencedirect.com/science/ article/pii/S0925231218312165.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://www.sciencedirect.com/science/ article/pii/S0925231218312165

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Observation 314a672a-9ac0-4d90-b87f-e81a71bbc16f · outbound

This paper cites Pyrcca: regularized kernel canonical correlation analysis in python and its applications to neuroimaging,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Pyrcca: regularized kernel canonical correlation analysis in python and its applications to neuroimaging,

Reference 32

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Observation f92c31d8-e60b-4020-b8b3-ed3e873e4106 · outbound

This paper cites Entangled watermarks as a defense against model extraction,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Entangled watermarks as a defense against model extraction,

Reference 33

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Observation 340bef0f-ed17-47af-9b88-cdc7e9e7a6ec · outbound

This paper cites Graph multiview canonical correlation analysis,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Graph multiview canonical correlation analysis,

Reference 34

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This paper cites Independence test and canonical correlation analysis based on the alignment between ker- nel matrices for multivariate functional data,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Independence test and canonical correlation analysis based on the alignment between ker- nel matrices for multivariate functional data,

Reference 35

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This paper cites Real-time data driven de- formation using kernel canonical correlation analysis,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Real-time data driven de- formation using kernel canonical correlation analysis,

Reference 36

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Statistical consistency of kernel canonical correlation analysis

Reference 37

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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel principal component analysis,

Reference 38

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Observation 6a681f3a-7230-43d8-b0be-7907c2e59b92 · outbound

This paper cites Facial expression recognition using kernel canonical correlation analysis (KCCA),.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Facial expression recognition using kernel canonical correlation analysis (KCCA),

Reference 39

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Observation 9f0ff847-ef57-4122-bf88-fb1f73a7e2b6 · outbound

This paper cites Model selection for Gaussian kernel PCA denoising,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection for Gaussian kernel PCA denoising,

Reference 40

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Observation 400b2aa5-ff6d-4cf7-8384-078b85e33bb1 · outbound

This paper cites Nonlinear component analysis as a kernel eigenvalue problem,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Nonlinear component analysis as a kernel eigenvalue problem,

Reference 41

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Observation 478d0f60-f874-42c8-9619-fc68686850a8 · outbound

This paper cites Convex formulation for kernel PCA and its use in semisupervised learning,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Convex formulation for kernel PCA and its use in semisupervised learning,

Reference 42

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Observation 45607749-bb9f-413d-92b2-1d95f33245b3 · outbound

This paper cites Streaming kernel principal component analysis,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Streaming kernel principal component analysis,

Reference 43

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Observation 367584d3-e259-404e-bdbd-91265d4efde0 · outbound

This paper cites Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant,

Reference 44

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Observation be04f584-f006-43b6-8eb9-46aab8e5ef0f · outbound

This paper cites Kernel PCA for novelty detection,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for novelty detection,

Reference 45

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Observation 96ced298-64e5-48cc-9ae8-1932e2558ef7 · outbound

This paper cites Kernel PCA for feature extraction and de-noising in nonlinear regression,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for feature extraction and de-noising in nonlinear regression,

Reference 46

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Observation a9a1b31f-7a86-40a5-8a17-11ec3bc6c0e9 · outbound

This paper cites Kernel PCA and de-noising in feature spaces,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA and de-noising in feature spaces,

Reference 47

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Observation 72cbf7ca-90fc-4abc-9949-3b6519988eb9 · outbound

This paper cites Kato,Perturbation Theory for Linear Operators, ser.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kato,Perturbation Theory for Linear Operators, ser

Reference 48

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Observation e2302d7b-b3aa-42fe-a713-680da2380a33 · outbound

This paper cites Gaussian RBF centered kernel alignment (CKA) in the large-bandwidth limit,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Gaussian RBF centered kernel alignment (CKA) in the large-bandwidth limit,

Reference 49

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Observation b94e18fc-427d-4f77-aee1-c0a00e36563e · outbound

This paper cites Spectral properties of kernel matrices in the flat limit,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Spectral properties of kernel matrices in the flat limit,

Reference 50

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Observation 6fe59be6-9367-49c4-95d1-a8feb74a804f · outbound

This paper cites Asymptotic behaviors of support vector machines with Gaussian kernel,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Asymptotic behaviors of support vector machines with Gaussian kernel,

Reference 51

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Observation 25736981-ab49-4238-9c9a-6d77173eb9c7 · outbound

This paper cites Mesures d’ind´ependance dans des rkhs en limite plate,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Mesures d’ind´ependance dans des rkhs en limite plate,

Reference 52

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Observation 32b3636f-880a-43fb-9f7a-0ffd60fda370 · outbound

This paper cites Gaussian Process Regression in the Flat Limit.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Gaussian Process Regression in the Flat Limit

Reference 53

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Observation 5097961d-63c0-4d5b-90f2-115360109b3c · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 54

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Observation 6eb31f28-b26f-48e2-b1a8-b07c15c925a8 · outbound

This paper cites OpenML: Networked science in machine learning,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA OpenML: Networked science in machine learning,

Reference 55

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Observation 5c9c9e1e-043e-4592-84d2-93676611fb27 · outbound

This paper cites Angles between subspaces and their tangents.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Angles between subspaces and their tangents

Reference 56

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Observation 2623f0dd-bae6-4c26-bddc-62e899cc5b34 · outbound

This paper cites Principal angles between subspaces in an A-based scalar product: Algorithms and perturbation estimates,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Principal angles between subspaces in an A-based scalar product: Algorithms and perturbation estimates,

Reference 57

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Observation 98182a22-f05f-49fb-8fe3-dd5ee4b7aebf · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Scikit-learn: Machine learning in Python,

Reference 58

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Observation 589bf058-766e-43e1-8f03-53784f370037 · outbound

This paper cites an unresolved cited work.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Unresolved cited work

Reference 59

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Observation ac27b07c-058f-423e-9461-a15079fb4faa · outbound

This paper cites Matplotlib: A 2D graphics environment,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Matplotlib: A 2D graphics environment,

Reference 60

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Observation 8bf1447e-150c-4733-a155-5933ff2cdb29 · outbound

This paper cites Array programming with NumPy,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Array programming with NumPy,

Reference 61

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Observation afb38ead-7909-48eb-97ba-9567017dd8ac · outbound

This paper cites Data Structures for Statistical Computing in Python,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Data Structures for Statistical Computing in Python,

Reference 62

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Observation 564d9d50-55c6-4f60-a4ea-30b573180f55 · outbound

This paper cites pandas-dev/pandas: Pandas,.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA pandas-dev/pandas: Pandas,

Reference 63

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Observation 0738f6f8-9768-4b22-bac4-5cd4d7827efc · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/ 2019/file/5f5d472067f77b5c88f69f1bcfda1e08-Paper.pdf.

Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://proceedings.neurips.cc/paper/ 2019/file/5f5d472067f77b5c88f69f1bcfda1e08-Paper.pdf

Reference 2019

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