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- Timestamp:
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11/23/12 18:44:26 (11 years ago)
- Author:
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spli
- Comment:
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initial
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v1
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| 1 | 1 | Some analysis algorithms may be applicable to all iamges and datasets. Others are designed to work on either a particular type of image, or require careful selection of a training dataset for optimal performance. |
| 2 | 2 | |
| 3 | | This means we need to store and manage the /context/ of each classifier/predictor. A single algorithm may have multiple contexts, which will may include: |
| | 3 | This means we need to store and manage the //context// of each classifier/predictor. A single algorithm may have multiple contexts, which will may include: |
| 4 | 4 | * List of the training images which defines the context. |
| 5 | 5 | * Feature weights, which indicate which features were used for the training process (this may be a subset of the complete set), and weights for each of these features. |
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