Pattern theory : the stochastic analysis of real-world signals / David Mumford, Agnès Desolneux
Type de document : MonographieCollection : Applying mathematicsLangue : anglais.Pays: Etats Unis.Éditeur : Natick (Mass.) : A K Peters, cop. 2010Description : 1 vol. (XI-407 p.- [8] pl. en coul.) : ill. ; 24 cmISBN: 9781568815794.Bibliographie : Bibliogr. p. 387- 400. Index.Sujet MSC : 94-02, Research exposition (monographs, survey articles) pertaining to information and communication theory94A12, Communication, information, Signal theory (characterization, reconstruction, filtering, etc.)
68T10, Computer science - Artificial intelligence, Pattern recognition, speech recognition
62Pxx, Statistics - Applications of statisticsEn-ligne : zbMath
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Monographie
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CMI Salle 2 | 94 MUM (Browse shelf(Opens below)) | Available | 11075-01 |
This book, based on the ideas of Ulf Grenander, who coined the term “pattern theory”, offers an appealing and original approach to the analysis and modelling of signals from the human and natural world, going from languages and music to natural scenes. Basics on mathematical, statistical and computational tools, exercises and numerical simulations are provided.
The seven chapters are: What is pattern theory? English texts and Markov chains. Music and piecewise Gaussian models. Character recognition and synctatic grouping. Image texture, segmentation and Gibbs models. Faces and flexible templates. Natural scenes and their multiscale analysis. (zbMath)
Bibliogr. p. 387- 400. Index
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