Real time change point detection by incremental PCA in large scale sensor data.
Dmitry MishinKieran Brantner-MageeFerenc CzakoAlexander S. SzalayPublished in: HPEC (2014)
Keyphrases
- sensor data
- real time
- change point detection
- health monitoring
- sensor networks
- sensor data streams
- data streams
- change point
- sensor measurements
- principal component analysis
- sensor readings
- heterogeneous sensor networks
- low cost sensors
- non stationary
- outlier detection
- multiple sensors
- dimensionality reduction
- smart environments
- raw sensor data
- earth observation
- human activities
- monitoring system
- sequential data
- artificial neural networks
- face recognition
- high dimensional time series
- singular spectrum analysis
- high dimensional
- feature extraction
- real world
- low cost
- normalized maximum likelihood
- machine learning