A maximum-likelihood detection scheme for rapid imaging of string-like samples in atomic force microscopy.
Peter I. ChangSean B. AnderssonPublished in: CDC (2009)
Keyphrases
- atomic force microscopy
- detection scheme
- maximum likelihood
- parameter estimation
- speaker adaptation
- maximum a posteriori
- pattern matching
- data sets
- likelihood function
- expectation maximization
- gaussian distribution
- data structure
- sample set
- em algorithm
- string matching
- hamming distance
- training samples
- suffix tree
- maximum likelihood estimation
- data samples
- training set
- image analysis
- computer vision