TransLoc: A Heterogeneous Knowledge Transfer Framework for Fingerprint-Based Indoor Localization

Keyphrases

• Source Domain 100%
• Heterogeneous Knowledge 100%
• Fingerprint-based Indoor Localization 100%
• Target Domain 100%
• Knowledge Transfer Framework 100%
• Knowledge Transfer 66%
• Feature Space 66%
• Transfer Learning Algorithm 66%
• Iterative Optimization 33%
• Changing Environment 33%
• State-of-the-art Techniques 33%
• Real-world Experiment 33%
• One Sample 33%
• Negative Transfer 33%
• Specific Knowledge 33%
• Location Prediction 33%
• Cross-domain Recognition 33%
• Heterogeneous Feature Spaces 33%
• Distribution Discrepancy 33%
• Mapping Learning 33%
• Real-time Positioning 33%
• Real-time Changes 33%
• Environmental Dynamics 33%
• Target Space 33%
• Weight Learning 33%

Computer Science

• Knowledge Transfer 100%
• Feature Space 75%
• Learning Algorithm 50%
• Transfer Learning 50%
• Objective Function 25%
• Optimization Algorithm 25%
• Experimental Result 25%
• Target Location 25%