A robust incremental principal component analysis for feature extraction from stream data with missing values.
Daijiro AokiToshiaki OmoriSeiichi OzawaPublished in: IJCNN (2013)
Keyphrases
- missing values
- stream data
- feature extraction
- missing data
- data streams
- incomplete data
- sliding window
- historical data
- sensor data
- dimensionality reduction
- image classification
- concept drift
- high dimensional data
- feature space
- network traffic
- face recognition
- data sets
- data distribution
- sequential patterns
- noisy data
- model selection
- principal component analysis
- feature vectors
- continuous queries
- neural network