Deep co-attention network for multi-view subspace learning

Keyphrases

• X-ray Images 100%
• Attention Network 100%
• Latent Representation 100%
• Multi-view Subspace Learning 100%
• Image Data 50%
• State-of-the-art Techniques 50%
• Iterative Algorithm 50%
• Multimodality 50%
• Real-world Application 50%
• Social Networks 50%
• Convergence Rate 50%
• Encoder 50%
• Need to Know 50%
• Social Media 50%
• Canonical Correlation Analysis 50%
• Decision Maker 50%
• Common Information 50%
• Result Prediction 50%
• Label Information 50%
• Attention Mechanism 50%
• User Posts 50%
• Adversarial Setting 50%
• User Modeling 50%
• Diagnostic Results 50%
• Medical Domain 50%
• Reconstruction Loss 50%
• Cross-reconstruction 50%

Computer Science

• Attention (Machine Learning) 100%
• Social Network 33%
• Case Study 33%
• Iterative Algorithm 33%
• Correlation Analysis 33%
• World Application 33%
• Convergence Speed 33%
• Decision Maker 33%
• Information Common 33%
• Social Media 33%
• Discriminator 33%
• Adversarial Setting 33%
• User Modeling 33%
• Medical Domain 33%