Learning domain-shared group-sparse representation for unsupervised domain adaptation

Keyphrases

• Distribution Alignment 100%
• Conditional Distribution 100%
• Unsupervised Domain Adaptation 100%
• Learning Domains 100%
• Group Sparse Representation 100%
• Target Domain 66%
• Cross-domain 66%
• Joint Distribution 66%
• Target Labels 66%
• Face Recognition 33%
• Label Propagation 33%
• Learning Model 33%
• Group Sparsity 33%
• Source Domain 33%
• Object Recognition 33%
• Convergence Analysis 33%
• Marginal Distribution 33%
• Adaptive Algorithm 33%
• Specific Information 33%
• New Criteria 33%
• Equivalent Conditions 33%
• Propagation Method 33%
• Cross-dataset 33%
• Shared Representations 33%
• Large Variance 33%
• Parameter Sensitivity Analysis 33%
• Direct Alignment 33%
• Approximate Distribution 33%
• Target Joint 33%
• Recognition Dataset 33%
• Parameter Convergence 33%
• Sparse Dictionary Learning 33%
• Group Sparse 33%
• Domain Name 33%

Computer Science

• Conditional Distribution 100%
• Sparse Representation 100%
• Unsupervised Domain Adaptation 100%
• Joint Distribution 100%
• Experimental Result 33%
• Face Recognition 33%
• Sparsity 33%
• Research Problem 33%
• Mathematical Convergence 33%
• Approximation (Algorithm) 33%
• Dictionary Learning 33%
• Subdomain 33%
• Object Recognition 33%
• Deep Feature 33%
• Sensitivity Parameter 33%
• Dataset Object 33%
• Marginal Distribution 33%
• Adaptation Algorithm 33%