Classifying Image Series with a Reoccurring Concept Drift Using a Markov Chain Predictor as a Feedback.
Magda SkoczenWojciech RafajlowiczEwaryst RafajlowiczPublished in: ICAISC (2) (2020)
Keyphrases
- markov chain
- concept drift
- steady state
- transition probabilities
- state space
- monte carlo
- random walk
- markov model
- image analysis
- monte carlo method
- stationary distribution
- neural network
- transition matrix
- monte carlo simulation
- non stationary
- high resolution
- data streams
- bayesian framework
- training data
- image segmentation
- data sets
- data stream classification
- drift detection