Pattern theory : from representation to inference /
| Основен автор: | Grenander, Ulf. |
|---|---|
| Други автори: | Miller, Michael I. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Oxford :
Oxford University Press,
2007.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=192112 |
| Подобни документи: |
Print version::
Pattern theory. |
Съдържание:
- Contents; 1 Introduction; 2 The Bayes Paradigm, Estimation and Information Measures; 3 Probabilistic Directed Acyclic Graphs and Their Entropies; 4 Markov Random Fields on Undirected Graphs; 5 Gaussian Random Fields on Undirected Graphs; 6 The Canonical Representations of General Pattern Theory; 7 Matrix Group Actions Transforming Patterns; 8 Manifolds, Active Models, and Deformable Templates; 9 Second Order and Gaussian Fields; 10 Metrics Spaces for the Matrix Groups; 11 Metrics Spaces for the Infinite Dimensional Diffeomorphisms; 12 Metrics on Photometric and Geometric Deformable Templates.
- 13 Estimation Bounds for Automated Object Recognition14 Estimation on Metric Spaces with Photometric Variation; 15 Information Bounds for Automated Object Recognition; 16 Computational Anatomy: Shape, Growth and Atrophy Comparison via Diffeomorphisms; 17 Computational Anatomy: Hypothesis Testing on Disease; 18 Markov Processes and Random Sampling; 19 Jump Diffusion Inference in Complex Scenes; References; Index.