Advanced Techniques in Optimization for Machine Learning and Imaging: 61 (Springer INdAM Series, 61) - Image 1

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Springer Advanced Techniques in Optimization for Machine Learning and Imaging: 61 (Springer INdAM Series, 61)

Name: Advanced Techniques in Optimization for Machine Learning and Imaging: 61 (Springer INdAM Series, 61)
Brand: Springer
Price: 121.6 GBP
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Description

In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging. The present book is a collection of recent contributions in the field of optimization, either revisiting consolidated ideas to provide formal theoretical guarantees or providing comparative numerical studies for challenging inverse problems in imaging. The work of these papers originated in the INdAM Workshop “Advanced Techniques in Optimization for Machine learning and Imaging” held in Roma, Italy, on June 20-24, 2022. The covered topics include non-smooth optimisation techniques for model-driven variational regularization, fixed-point continuation algorithms and their theoretical analysis for selection strategies of the regularization parameter for linear inverse problems in imaging, different perspectives on Support Vector Machines trained via Majorization-Minimization methods, generalization of Bayesian statistical frameworks to imaging problems, and creation of benchmark datasets for testing new methods and algorithms.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9819767687
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 03 October 2024
Listed Since: 09 July 2024

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Springer Advanced Techniques in Optimization for Machine Learning and Imaging: 61 (Springer INdAM Series, 61)

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