Parametric Embedding for Class Visualization
Iwata, Tomoharu, Saito, Kazumi, Ueda, Naonori, Stromsten, Sean, Griffiths, Thomas L., Tenenbaum, Joshua B.
–Neural Information Processing Systems
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model.
Neural Information Processing Systems
Dec-31-2005
- Country:
- North America > United States
- New York (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Asia
- Middle East > Jordan (0.04)
- Japan > Honshū
- Kansai > Kyoto Prefecture > Kyoto (0.04)
- North America > United States
- Technology: