Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing - Tobias Preusser - Grāmatas - Morgan & Claypool Publishers - 9781681731438 - 2017. gada 13. jūlijs
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data - Synthesis Lectures on Visual Computing


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The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations.


160 pages

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2017. gada 13. jūlijs
ISBN13 9781681731438
Izdevēji Morgan & Claypool Publishers
Lapas 160
Izmēri 150 × 220 × 10 mm   ·   290 g
Valoda Angļu  
Sērijas redaktors Barsky, Brian A.

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