Change-Point Detection using Krylov Subspace Learning.
Tsuyoshi IdéKoji TsudaPublished in: SDM (2007)
Keyphrases
- subspace learning
- change point detection
- change point
- non stationary
- dimensionality reduction
- outlier detection
- manifold learning
- sequential data
- data representation
- normalized maximum likelihood
- principal component analysis
- low dimensional
- face recognition
- semi supervised
- sparse representation
- subspace learning algorithm
- high dimensional data
- sparse coding
- learning algorithm
- data mining
- image classification
- hidden markov models
- data analysis