Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data.
Randa KassabFrédéric AlexandrePublished in: Mach. Learn. (2009)
Keyphrases
- noisy data
- novelty detection
- data driven
- high dimensional
- prior knowledge
- noise tolerant
- similarity measure
- input data
- probabilistic model
- incremental learning
- dimensionality reduction
- data structure
- training data
- computer vision
- neural network
- data sets
- image data
- data analysis
- multi dimensional
- bayesian networks
- high dimensionality
- learning algorithm
- noise free