Indoor location estimation with reduced calibration exploiting unlabeled data via hybrid generative/discriminative learning

Computer Science

• Indoor Location 100%
• Location Estimation 100%
• Unlabeled Data 100%
• Superior Performance 66%
• Experimental Result 33%
• Learning Algorithm 33%
• Estimation Accuracy 33%
• Unlabeled Sample 33%
• Generative Model 33%
• wireless local area network 33%
• Semisupervised Learning 33%

Keyphrases

• Hybrid Generative-discriminative Learning 100%
• Indoor Location Estimation 100%
• Offline Calibration 50%
• Semi-supervised Learning Algorithm 50%
• Network Fingerprinting 50%
• Modeling Power 50%
• Discriminative Approach 50%