| Description |
1 online resource (xii, 596 pages) : illustrations (some color) |
| Series |
OUP E-Books
|
| 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 |
| Summary |
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, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short ov |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Pattern perception.
|
|
Pattern recognition systems.
|
|
Pattern Recognition, Automated
|
|
MATHEMATICS -- Infinity.
|
|
MATHEMATICS -- Logic.
|
|
Pattern perception
|
|
Pattern recognition systems
|
| Form |
Electronic book
|
| Author |
Miller, Michael I
|
| LC no. |
2007274231 |
| ISBN |
9780191523113 |
|
0191523119 |
|
1280753854 |
|
9781280753855 |
|
9781429470148 |
|
1429470143 |
|
9786610753857 |
|
6610753857 |
|
0191916560 |
|
9780191916564 |
|
