Elements in Non-local Data Interactions: Foundations and Applications – serie
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7 produkter
Latent Modes of Nonlinear Flows
A Koopman Theory Analysis
Av Ido Cohen, Guy Gilboa
Häftad, 2023
393 kr
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Extracting the latent underlying structures of complex nonlinear local and nonlocal flows is essential for their analysis and modeling. In this Element the authors attempt to provide a consistent framework through Koopman theory and its related popular discrete approximation - dynamic mode …
Nonlocal Continuum Limits of p-Laplacian Problems on Graphs
Av Imad El Bouchairi, Jalal Fadili m. fl.
Häftad, 2023
406 kr
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In this Element, the authors consider fully discretized p-Laplacian problems (evolution, boundary value and variational problems) on graphs. The motivation of nonlocal continuum limits comes from the quest of understanding collective dynamics in large ensembles of interacting particles, which is a …
Generalized Normalizing Flows via Markov Chains
Av Paul Lyonel Hagemann, Johannes Hertrich m. fl.
Häftad, 2023
308 kr
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Normalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. The authors consider stochastic normalizing flows as a pair of Markov chains fulfilling some …
Mathematical Modeling and Essential Regularization for Imaging Applications
From Variational Models to Deep Learning Algorithms
Av Ke Chen
Häftad, 2026
282 kr
Kommande
To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models and deep learning algorithms. Regularization is a key concept in developing a variational model …
A Prolegomenon to Differential Equations and Variational Methods on Graphs
Av Yves van Gennip, Jeremy Budd
Häftad, 2025
317 kr
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The use of differential equations on graphs as a framework for the mathematical analysis of images emerged about fifteen years ago and since then it has burgeoned, and with applications also to machine learning. The authors have written a bird's eye view of theoretical developments that will enable …
Mathematical Modeling and Essential Regularization for Imaging Applications
From Variational Models to Deep Learning Algorithms
Av Ke Chen
Inbunden, 2026
791 kr
Kommande
To deal with an increasingly large and sophisticated class of real life problems, image processing methods range from the traditional filtering and thresholding techniques to advanced variational models and deep learning algorithms. Regularization is a key concept in developing a variational model …
A Prolegomenon to Differential Equations and Variational Methods on Graphs
Av Yves van Gennip, Jeremy Budd
Inbunden, 2025
938 kr
Lägg i varukorg
The use of differential equations on graphs as a framework for the mathematical analysis of images emerged about fifteen years ago and since then it has burgeoned, and with applications also to machine learning. The authors have written a bird's eye view of theoretical developments that will enable …
