ClassifierPipeline » History » Version 1
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J. Moringen, 08/30/2012 04:01 PM
initial version
Classifier Pipeline¶
Structuring Ideas¶
- Data-flow layer + control layer
- E.g. central controller manages component states according to some protocol/rules
- Alternative: Subgraph lifecycles
- E.g. learning subgraph between data buffer and learner)
Training¶
- Sequential processing: data source, keypoint, descriptor, feature
- Processing Strategies (in CCA speech)
- First possibility
- As fast as possible
- Flow control is necessary
- Usually, all inputs are processed
- Second possibility
- "Live" data source (i.e. camera)
- First possibility
- Multiple phases
- Collection
- Actual training
- Model is transmitted from learner to classifier
Classification¶
- Static, linear data flow: source, keypoint, descriptor, feature, classifier
- No buffering/persistence required