Mixtures of Probabilistic Principal Component Analyzers
Michael E. Tipping low, Chris Bishop
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Citation edge evidence
- Unsupervised learning of finite mixture models→Mixtures of Probabilistic Principal Component AnalyzersLegacy edge — source detail unavailable
- Variational Algorithms for Approximate Bayesian Inference→Mixtures of Probabilistic Principal Component AnalyzersLegacy edge — source detail unavailable
- GTM: The Generative Topographic Mapping→Mixtures of Probabilistic Principal Component AnalyzersLegacy 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
- Mixtures of Probabilistic Principal Component Analyzers→Hierarchical Mixtures of Experts and the EM AlgorithmLegacy edge — source detail unavailable
- Mixtures of Probabilistic Principal Component Analyzers→GTM: The Generative Topographic MappingLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
- Hierarchical Mixtures of Experts and the EM Algorithm→Statistical Analysis of Finite Mixture Distributions.Legacy 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 of Finite Mixture Distributions.Legacy edge — source detail unavailable
- Variational Algorithms for Approximate Bayesian Inference→Neural networks for pattern recognitionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Neural networks for pattern recognition | 1994 | 18,720 |
| Statistical Analysis of Finite Mixture Distributions. | 1987 | 2,951 |
| Hierarchical Mixtures of Experts and the EM Algorithm | 1994 | 2,684 |
| GTM: The Generative Topographic Mapping | 1998 | 1,395 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Unsupervised learning of finite mixture models | 2002 | 2,139 |
| Variational Algorithms for Approximate Bayesian Inference | 2003 | 1,736 |
| GTM: The Generative Topographic Mapping | 1998 | 1,395 |
Links
Topics
| Bayesian Methods and Mixture Models | Computer Science |
| Advanced Clustering Algorithms Research | Computer Science |
| Face and Expression Recognition | Computer Science |
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