Deep representation learning of activity trajectory similarity computation

Keyphrases

• Deep Representation Learning 100%
• Trajectory Similarity Computation 100%
• Activity Trajectory 100%
• Semantic Information 66%
• Function-based 33%
• Spatial Database 33%
• Sampling Strategy 33%
• Similarity Measure 33%
• Negative Effects 33%
• Temporal Features 33%
• Attention Mechanism 33%
• Natural Language Processing 33%
• Network Training 33%
• Actual Situation 33%
• Low Sampling Rate 33%
• Wireless Communication Technology 33%
• Trajectory Representation 33%
• Trajectory Data 33%
• Trajectory Database 33%
• Deep Learning Model 33%
• Spatiotemporal Characteristics 33%
• Spatial Features 33%
• Implicit Features 33%
• Location-based Social Networks 33%
• Sampling Problems 33%
• Big Trajectory Data 33%
• Novel Loss Function 33%
• Traditional Trajectory 33%
• Trajectory Similarity 33%
• Trajectory Sampling 33%
• Activity Information 33%

Computer Science

• Trajectory Data 100%
• Deep Representation Learning 100%
• Information Activity 50%
• Natural Language Processing 50%
• Deep Learning Model 50%
• Spatial Database 50%
• Temporal Characteristic 50%
• Similarity Measurement 50%
• Temporal Feature 50%
• Attention (Machine Learning) 50%
• wireless communication technology 50%
• Sampling Problem 50%
• Negative Effect 50%
• Social Network 50%
• Global Positioning System 50%