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Pattern Theory

Pattern Theory

From representation to inference

9780198505709
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Description
  • Introduction; The Bayes paradigm, estimation and information measures; Probabilistic directed acyclic graphs and their entropies; Markov random fields on undirected graphs; Gaussian random fields on undirected graphs; The canonical representations of general pattern theory; Matrix group actions transforming patterns; Manifolds, active modes, and deformable templates; Second order and Gaussian fields; Metrics spaces for the matrix groups; Metrics spaces for the infinite dimensional diffeomorphisms; Metrics on photometric and geometric deformable templates; Estimation bounds for automated object recognition; Estimation on metric spaces with photometric variation; Information bounds for automated object recognition; Computational anatomy: shape, growth and atrophy comparison via diffeomorphisms; Computational anatomy: hypothesis testing on disease; Markov processes and random sampling; Jump diffusion inference in complex scenes;
Product Details
OUP Oxford
86021
9780198505709
9780198505709

Data sheet

Publication date
2006
Issue number
1
Cover
hard cover
Pages count
636
Dimensions (mm)
195 x 251
Weight (g)
1518
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