Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning.
Wen QinXin LuoMengChu ZhouPublished in: IEEE Trans. Big Data (2024)
Keyphrases
- collaborative filtering
- matrix factorization
- stochastic gradient descent
- data representation
- high dimensional
- dimensionality reduction
- learning algorithm
- active learning
- learning tasks
- least squares
- online learning
- neural network
- optical flow
- object oriented
- pattern recognition
- similarity measure
- loss function
- learning problems
- feature selection
- computer vision
- learning models