Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning.
Ruiyu XuJianguo WuXiaowei YueYongxiang LiPublished in: CoRR (2020)
Keyphrases
- subspace learning
- high dimensional
- streaming data
- dimensionality reduction
- sparse coding
- low dimensional
- manifold learning
- change point detection
- data streams
- sparse representation
- high dimensional data
- concept drift
- data distribution
- sliding window
- high dimensionality
- feature space
- similarity search
- image classification
- database
- linear combination
- image representation
- natural images
- principal component analysis
- data representation
- data points
- multi dimensional
- unsupervised learning
- image patches
- nearest neighbor
- generative model
- small number
- data analysis
- pattern recognition
- face recognition
- feature selection
- learning algorithm