Topic: "misaligned-data"
nesl/Robust-Deep-Learning-Pipeline
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Language: Jupyter Notebook - Size: 876 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 3
Related Topics
action-recognition
1
activity-recognition
1
cnn
1
complex-activity-recognition
1
complex-event-recognition
1
conv-lstm
1
cooking-activity-dataset
1
deep-learning
1
deep-neural-networks
1
human-activity-recognition
1
jitter
1
lstm
1
machine-learning
1
missing-data
1
multimodal-deep-learning
1
sampling-rates
1
sensor-fusion
1
time-series
1