Allassonniere et al., 2008 - Google Patents
Stochastic algorithm for parameter estimation for dense deformable template mixture modelAllassonniere et al., 2008
View PDF- Document ID
- 3514225691810562184
- Author
- Allassonniere S
- Kuhn E
- Publication year
- Publication venue
- arXiv preprint arXiv:0802.1521
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Snippet
Estimating probabilistic deformable template models is a new approach in the fields of computer vision and probabilistic atlases in computational anatomy. A first coherent statistical framework modelling the variability as a hidden random variable has been given …
- 239000000203 mixture 0 title abstract description 13
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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