A hierarchical autoencoder learning model for path prediction and abnormality detection

INIS

• detection 100%
• levels 100%
• learning 100%
• prediction 100%
• applications 50%
• increasing 50%
• information 50%
• correlations 50%
• orientation 50%
• optimization 50%
• motion 50%
• efficiency 50%
• weight 50%
• modeling 50%
• surveillance 50%
• layers 50%
• datasets 50%
• grids 50%
• architecture 50%
• trajectories 50%
• construction 50%
• capture 50%
• speed 50%
• outdoors 50%
• entropy 50%
• probabilistic estimation 50%
• neural networks 50%
• indoors 50%

Keyphrases

• Abnormality Detection 100%
• Learning Model 100%
• Path Prediction 100%
• Hierarchical Framework 100%
• Autoencoder Learning 100%
• Cross-entropy 50%
• Semantic Information 50%
• Autoencoder 50%
• Spatiotemporal 50%
• Spatial Orientation 50%
• State-of-the-art Techniques 50%
• Bayesian Framework 50%
• Object Recognition 50%
• Hierarchical Model 50%
• Learning Architecture 50%
• Feature Representation 50%
• Entropy-based Optimization 50%
• Hierarchical Layer 50%
• Bottom-up Construction 50%
• Spatio-temporal Motion 50%
• Neural Network Learning 50%
• Rich Semantics 50%
• Statistical Correlation 50%
• Neighboring Elements 50%
• Surveillance Scenarios 50%

Computer Science

• Autoencoder 100%
• Object Recognition 50%
• Neural Network 50%
• Hierarchical Model 50%
• Neighboring Element 50%
• Exploit Framework 50%
• Probabilistic Framework 50%