GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio.
Fatemeh AzmandianAyse YilmazerJennifer G. DyJaved A. AslamDavid R. KaeliPublished in: ICDM (2012)
Keyphrases
- density ratio estimation
- density ratio
- outlier detection
- gpu accelerated
- feature selection
- finite element
- detection algorithm
- knowledge discovery
- least squares
- real time
- data streams
- text categorization
- feature set
- density estimation
- support vector
- feature extraction
- detecting outliers
- data mining
- machine learning
- detect outliers
- unsupervised learning
- model selection
- text classification
- classification accuracy
- covariate shift
- sequence alignment
- data analysis
- learning algorithm
- independent component analysis
- kernel learning
- image sequences