Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning.
Ruiyu XuJianguo WuXiaowei YueYongxiang LiPublished in: Technometrics (2023)
Keyphrases
- subspace learning
- high dimensional
- streaming data
- dimensionality reduction
- low dimensional
- sparse coding
- manifold learning
- change point detection
- data streams
- high dimensional data
- sparse representation
- concept drift
- data distribution
- sliding window
- image classification
- dimension reduction
- high dimensionality
- nearest neighbor
- data representation
- unsupervised learning
- feature space
- linear combination
- natural images
- data points
- multi dimensional
- databases
- semi supervised
- similarity search
- data analysis
- neural network
- outlier detection
- non stationary
- multiscale
- face recognition
- learning algorithm
- sequential data
- machine learning