Kernel principal component analysis
Bernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller
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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 |
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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.
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