A comparison of Finite State Classifier and Mahalanobis-Taguchi System for multivariate pattern recognition in skin cancer detection.
Elizabeth A. CudneySteven M. CornsPublished in: CIBCB (2011)
Keyphrases
- finite state
- cancer detection
- pattern recognition
- markov chain
- markov decision processes
- model checking
- optimal policy
- training data
- partially observable markov decision processes
- support vector machine
- prostate cancer
- decision trees
- learning algorithm
- machine learning
- support vector
- training set
- data points
- dimensionality reduction
- image processing
- neural network
- tree automata
- finite state transducers
- computer aided
- image registration
- image data
- feature space
- feature extraction
- feature selection
- computer vision