Cargando…
Pattern theory : from representation to inference /
Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, an...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Oxford University Press,
2007.
|
| Colección: | OUP E-Books.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.