Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data.
Makoto YamadaAkisato KimuraFutoshi NayaHiroshi SawadaPublished in: IJCAI (2013)
Keyphrases
- change point detection
- high dimensional
- feature selection
- high dimensionality
- change point
- non stationary
- sequential data
- dimensionality reduction
- feature space
- microarray data
- outlier detection
- singular spectrum analysis
- gene expression data
- high dimensional time series
- normalized maximum likelihood
- variable selection
- machine learning
- similarity search
- mutual information
- text classification
- multi dimensional
- hidden markov models
- support vector
- high dimensional data
- feature extraction
- model selection
- feature set
- video sequences
- neural network
- data sets
- microarray
- wavelet transform
- knn
- multi task
- knowledge discovery
- data points