GTM: The Generative Topographic Mapping
Chris Bishop, Markus Svensén low, Christopher K. I. Williams
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Citation edge evidence
- Gaussian Processes for Machine Learning→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- A gentle tutorial of the em algorithm and its application to parameter estimation for Gau…→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- Mixtures of Probabilistic Principal Component Analyzers→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- Essentials of the self-organizing map→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- Stochastic Neighbor Embedding→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Statistical Analysis With Missing DataLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Self-Organizing MapsLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Mixtures of Probabilistic Principal Component AnalyzersLegacy edge — source detail unavailable
- A gentle tutorial of the em algorithm and its application to parameter estimation for Gau…→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Gaussian Processes for Machine Learning→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Essentials of the self-organizing map→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Mixtures of Probabilistic Principal Component Analyzers→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Mixtures of Probabilistic Principal Component Analyzers→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Neural networks for pattern recognition | 1994 | 18,720 |
| Statistical Analysis With Missing Data | 1989 | 17,507 |
| Self-Organizing Maps | 1995 | 10,390 |
| Self-organized formation of topologically correct feature maps | 1982 | 9,582 |
| Statistical Analysis of Finite Mixture Distributions. | 1987 | 2,951 |
| Mixtures of Probabilistic Principal Component Analyzers | 1999 | 1,906 |
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Remote-Sensing Image Classification | Engineering |
| Face and Expression Recognition | Computer Science |
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- supports3 author record(s) attached.
- supports40 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 59007f057c7dae86…