MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training

Keyphrases

• Adaptation 100%
• Adaptation Approach 16%
• Adaptation Methods 16%
• Affective Computing 16%
• BioVid 16%
• Class-agnostic 16%
• Class-aware 16%
• Co-training 100%
• Digital Health 16%
• Domain Adaptation 33%
• Expression Recognition 100%
• Interpersonal Variation 16%
• Machine Learning Models 16%
• Modal 16%
• Model Accuracy 16%
• Model Robustness 16%
• Multi-source Domain Adaptation 50%
• Multimodal Expression 16%
• Multimodal Information 16%
• Multimodality 16%
• Multiple Source Domains 16%
• Patient-specific 16%
• Pseudo-labeling 16%
• Recognition Dataset 16%
• Recognition-based 16%
• Result State 16%
• Selection Strategy 16%
• Single Domain 16%
• Source Features 16%
• Specific Adaptation 16%
• Specific Expression 16%
• Subject-level 16%
• Subject-specific 100%

Computer Science

• Affective Computing 20%
• Domain Adaptation 60%
• Experimental Result 20%
• Expression Recognition 100%
• Machine Learning Model 20%
• Model Accuracy 20%
• Multi-Source 60%
• Multimodal Information 20%
• Target Feature 20%

Medicine and Dentistry

• Digital Health 100%