Who Cited It

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

1998 · Neural Computation · 8,138 citations · 21 from inside this corpus

Bernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …Support-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksA training algorithm for optimal margin classifiers (1992)A training algorithm for opti…An overview of statistical learning theory (1999)An overview of statistical le…Simplified neuron model as a principal component analyzer (1982)Simplified neuron model as a …A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …Data clustering: 50 years beyond K-means (2009)Data clustering: 50 years bey…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…An overview of statistical learning theory (1999)An overview of statistical le…Survey of Clustering Algorithms (2005)Survey of Clustering Algorith…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Semi-Supervised Learning (2006)Semi-Supervised LearningDistance Metric Learning for Large Margin Nearest Neighbor Classification (2009)Distance Metric Learning for …An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Kernel principal component analysis (1997)Kernel principal component an…A Comprehensive Survey of Clustering Algorithms (2015)A Comprehensive Survey of Clu…kernlab - An S4 Package for Kernel Methods in R (2004)kernlab - An S4 Package for K…Distance Metric Learning for Large Margin Nearest Neighbor Classification (2005)Distance Metric Learning for …Generalized Discriminant Analysis Using a Kernel Approach (2000)Generalized Discriminant Anal…A review of novelty detection (2014)A review of novelty detectionKernel methods in machine learning (2008)Kernel methods in machine lea…Using the Nyström Method to Speed Up Kernel Machines (2000)Using the Nyström Method to S…Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018)Detecting Spacecraft Anomalie…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…Comparing support vector machines with Gaussian kernels to radial basis function classifi… (1997)Comparing support vector mach…
27 of 27 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Support-vector networks199541,028
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
A training algorithm for optimal margin classifiers199211,664
An overview of statistical learning theory19996,311
Simplified neuron model as a principal component analyzer19822,353

What cites it, inside the corpus

PaperYearCited
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
Data clustering: 50 years beyond K-means20099,368
A Comprehensive Survey on Transfer Learning20206,441
An overview of statistical learning theory19996,311
Survey of Clustering Algorithms20056,210
Learning Deep Architectures for AI20095,077
Semi-Supervised Learning20064,334
Distance Metric Learning for Large Margin Nearest Neighbor Classification20094,256
An introduction to kernel-based learning algorithms20013,498
Understanding Machine Learning: From Theory To Algorithms20153,081
Kernel principal component analysis19971,950
A Comprehensive Survey of Clustering Algorithms20151,939
kernlab - An S4 Package for Kernel Methods in R20041,864
Distance Metric Learning for Large Margin Nearest Neighbor Classification20051,707
Generalized Discriminant Analysis Using a Kernel Approach20001,683
A review of novelty detection20141,647
Kernel methods in machine learning20081,618
Using the Nyström Method to Speed Up Kernel Machines20001,519
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding20181,459
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424
Comparing support vector machines with Gaussian kernels to radial basis function classifi…19971,414

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Blind Source Separation TechniquesComputer Science
Image and Signal Denoising MethodsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports28 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…