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Queißer, Jeffrey: Using context for the combination of off-line and on-line learning. 2012
Inhalt
List of Figures
List of Tables
1 Introduction
1.1 Scenario
1.2 Aims
1.3 Plan of the Manuscript
2 Related Work
2.1 Context
2.1.1 Feature Weighting
2.2 Classifier Combination
2.3 Traversability Classification
3 Learning Method
3.1 Learning Architecture
3.1.1 Realization
3.2 GRLVQ and GMLVQ Learning
3.3 iGMLVQ Extension
4 System
4.1 Simulator
4.2 Data Sets
4.3 Test Framework
4.3.1 Data iterator
4.3.2 Performance analysis
4.3.3 Ground truth
4.3.4 Control logic
4.3.4.1 Image patcher
4.3.4.2 Feature extraction
4.3.4.3 Context utilization
4.3.4.4 Off-line classifier
4.3.4.5 On-line classifier
4.3.4.6 Reliability matrix
4.3.4.7 Decision module
5 Abstract Data Set
5.1 Artificial Data Set I
5.2 Artificial Data Set II
5.3 Conclusion
6 Simulator Based Data Sets
6.1 Simulation Environment
6.2 Scenario Environment
6.2.1 Data sets
6.3 Feature Extraction
6.4 Classifier Combination
6.4.1 Parameter optimization
6.4.2 Contextualization
6.4.3 Comparison to solely on-line training
6.4.4 Visualization of classification results
6.4.5 Prototype visualization
6.4.6 More complex data set and additional features
6.4.7 Rejection rate
6.5 Conclusion
7 Discussion
7.1 Further Work
A Data Sets
References