Table 3 Summary of some advantages of DE and WDE over SMC filter
No. | Temporal-spatial learning | Spatial-temporal learning |
|---|---|---|
1. | Analyzes time series data with spatial features | Analyzes data with spatial features that evolve over time, such as video |
2. | Typically involves deep learning models such as RNNs or CNNs | Typically involves deep learning models such as 3D CNNs |
3. | Focuses on capturing temporal relationships between spatial features | Focuses on capturing spatial and temporal relationships between different parts of the data |
4. | Used in applications such as human activity recognition or stock price prediction | Used in applications such as video analysis or action recognition |
5. | Examples of research papers in this field include “Temporal-spatial learning with convolutional neural networks for functional connectome-based prediction” | Examples of research papers in this field include “Spatio-temporal LSTM with trust gates for 3D human action recognition” |