UAI 2000
Experiments with Random Projection
Abstract
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.
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Context
- Venue
- Conference on Uncertainty in Artificial Intelligence
- Archive span
- 1985-2025
- Indexed papers
- 3717
- Paper id
- 832986433304793296