Predicting the principal strong ground motion parameters: A deep learning approach.
Ali DerakhshaniAmir Hossein ForuzanPublished in: Appl. Soft Comput. (2019)
Keyphrases
- motion parameters
- deep learning
- least squares
- point correspondences
- image sequences
- optical flow
- motion estimation
- motion model
- camera motion
- kalman filter
- motion analysis
- flow field
- unsupervised learning
- machine learning
- feature points
- moving objects
- mental models
- weakly supervised
- supervised learning
- computer vision
- object tracking
- data sets
- three dimensional
- image processing
- data mining