Pattern theory : from representation to inference /

Main Author: Grenander, Ulf.
Other Authors: Miller, Michael I.
Format: Book
Language:English
Published: Oxford : Oxford University Press, 2007.
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=192112
Table of Contents:
  • 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.