Zobrazeno 1 - 10
of 1 981
pro vyhledávání: '"gradient flow"'
Publikováno v:
IEEE Access, Vol 12, Pp 102016-102026 (2024)
In the realm of computer vision, image segmentation has become a crucial task with widespread applications, particularly in medical imaging. Although there have been significant advancements in image segmentation methods, challenges persist in accura
Externí odkaz:
https://doaj.org/article/9184d0282887456e97888420665e3bb7
Publikováno v:
Mathematics in Engineering, Vol 5, Iss 4, Pp 1-16 (2023)
We extend some theorems for the infinity-ground state and for the infinity-potential, known for convex polygons, to other domains in the plane, by applying Alexandroff's method to the curved boundary. A recent explicit solution disproves a conjecture
Externí odkaz:
https://doaj.org/article/a76a9c8fa6994e7f865fb403a125151e
Akademický článek
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Publikováno v:
Entropy, Vol 26, Iss 8, p 679 (2024)
Particle-based Variational Inference (ParVI) methods have been widely adopted in deep Bayesian inference tasks such as Bayesian neural networks or Gaussian Processes, owing to their efficiency in generating high-quality samples given the score of the
Externí odkaz:
https://doaj.org/article/714a426651914ca886bf84b30db7b4fa
Autor:
Jerome D. Wettstein
Publikováno v:
Mathematics in Engineering, Vol 5, Iss 3, Pp 1-38 (2023)
The goal of this paper is to discuss some of the results in the author's previous papers and expand upon the work there by proving two new results: a global weak existence result as well as a first bubbling analysis for the half-harmonic gradient flo
Externí odkaz:
https://doaj.org/article/6aaadeb58cb440808722929bf3d3c760
Publikováno v:
Electronic Research Archive, Vol 31, Iss 5, Pp 2519-2554 (2023)
The training of artificial neural networks (ANNs) with rectified linear unit (ReLU) activation via gradient descent (GD) type optimization schemes is nowadays a common industrially relevant procedure. GD type optimization schemes can be regarded as t
Externí odkaz:
https://doaj.org/article/1bb24b33ff194f1ca852c722b785ee8d
Publikováno v:
IEEE Access, Vol 11, Pp 126052-126065 (2023)
While stereo matching methods have great progress in recent years, they still face several formidable challenges. These challenges mainly include how to fully utilize global context and depth semantic information for depth feature extraction while ma
Externí odkaz:
https://doaj.org/article/8c839510f6024e45b22f6a3ecd94443b
Publikováno v:
IEEE Access, Vol 11, Pp 90622-90640 (2023)
We present a technique to estimate the Riemannian gradient of a given function defined on interior points of a Riemannian submanifold in the Euclidean space based on a sample of function evaluations at points in the submanifold. It applies to cases w
Externí odkaz:
https://doaj.org/article/a41d6d1f8049421baf1c446184f3a778