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The classification results using different distributions on latent variables
| Patch Dimension | Validation Classification | Heldout Classification |
|---|---|---|
| Gaussian prior with k-means clustering | 84.2±1% | 83.8±1% |
| Gaussian mixture prior with nearest neighbor clustering | 77.5±1.1% | 67.5±1.3% |
| Gaussian mixture prior with likelihood clustering | 75 ±1.2% | 70±1.3% |
