Sequential motion optimization with short-term adaptive moment estimation for deep learning problems.
Thang Le-DucHung Nguyen-XuanJaehong LeePublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- short term
- learning problems
- motion prediction
- long term
- learning tasks
- machine learning algorithms
- convex optimization problems
- kernel methods
- supervised learning
- semi supervised learning
- learning algorithm
- machine learning
- short term and long term
- long term memory
- optimization algorithm
- motion estimation
- medium term
- reinforcement learning
- forecasting model
- image sequences
- load forecasting
- optical flow
- optimization problems
- support vector
- function approximation
- arima model
- data mining
- kalman filter
- feature vectors
- convex optimization
- multi objective
- learning experience
- image segmentation