Kernel principal component analysis
Bernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller
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Citation edge evidence
- From Frequency to Meaning: Vector Space Models of Semantics→Kernel principal component analysisLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection→Kernel principal component analysisLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Kernel principal component analysisLegacy edge — source detail unavailable
- Kernel principal component analysis→Support-Vector NetworksLegacy edge — source detail unavailable
- Kernel principal component analysis→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- Kernel principal component analysis→Nonlinear Component Analysis as a Kernel Eigenvalue ProblemLegacy edge — source detail unavailable
- Kernel principal component analysis→Simplified neuron model as a principal component analyzerLegacy edge — source detail unavailable
- Support-Vector Networks→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem→Support-Vector NetworksLegacy edge — source detail unavailable
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem→Simplified neuron model as a principal component analyzerLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Support-Vector NetworksLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Support-Vector Networks | 1995 | 33,914 |
| A training algorithm for optimal margin classifiers | 1992 | 11,664 |
| Nonlinear Component Analysis as a Kernel Eigenvalue Problem | 1998 | 8,138 |
| Simplified neuron model as a principal component analyzer | 1982 | 2,353 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| From Frequency to Meaning: Vector Space Models of Semantics | 2010 | 2,902 |
| Deep Learning for Anomaly Detection | 2021 | 2,635 |
| Deep Learning for Anomaly Detection: A Review | 2020 | 1,731 |
Links
Topics
| Neural Networks and Applications | Computer Science |
| Spectroscopy and Chemometric Analyses | Chemistry |
| Face and Expression Recognition | Computer Science |
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- supports3 author record(s) attached.
- supports12 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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