Subspace Change-Point Detection via Low-Rank Matrix Factorisation.
Euan Thomas McGonigleHankui PengPublished in: CoRR (2021)
Keyphrases
- low rank
- change point detection
- matrix factorisation
- low rank representation
- high dimensional data
- rank minimization
- non stationary
- matrix factorization
- affinity matrix
- outlier detection
- missing data
- matrix completion
- regularized regression
- convex optimization
- linear combination
- sequential data
- singular value decomposition
- low rank matrix
- low dimensional
- semi supervised
- em algorithm
- dimensionality reduction
- subspace clustering
- high order
- nonnegative matrix factorization
- high dimensional
- nearest neighbor
- pairwise
- feature space
- linear subspace
- data sets
- principal component analysis
- singular values
- subspace learning
- hidden markov models
- sparse representation
- negative matrix factorization
- neural network