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pro vyhledávání: '"Torres, German"'
This paper proposes a novel approach to solving nonlinear programming problems using a sharp augmented Lagrangian method with a smoothing technique. Traditional sharp augmented Lagrangian methods are known for their effectiveness but are often hinder
Externí odkaz:
http://arxiv.org/abs/2410.03050
Video deblurring aims at recovering sharp details from a sequence of blurry frames. Despite the proliferation of depth sensors in mobile phones and the potential of depth information to guide deblurring, depth-aware deblurring has received only limit
Externí odkaz:
http://arxiv.org/abs/2409.01274
Camera motion introduces spatially varying blur due to the depth changes in the 3D world. This work investigates scene configurations where such blur is produced under parallax camera motion. We present a simple, yet accurate, Image Compositing Blur
Externí odkaz:
http://arxiv.org/abs/2303.09334
Publikováno v:
In Journal of South American Earth Sciences June 2023 126
Publikováno v:
In Heliyon May 2020 6(5)
Akademický článek
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In this paper we present a method for estimating unknown parameter that appear on a non-linear reaction-diffusion model of cancer invasion. This model considers that tumor-induced alteration of micro-enviromental pH provides a mechanism for cancer in
Externí odkaz:
http://arxiv.org/abs/1401.2625
Autor:
Torres, Germán A.
The Weber problem consists of finding a point in $\mathbbm{R}^n$ that minimizes the weighted sum of distances from $m$ points in $\mathbbm{R}^n$ that are not collinear. An application that motivated this problem is the optimal location of facilities
Externí odkaz:
http://arxiv.org/abs/1204.1087
Publikováno v:
IET Computer Vision, Vol 13, Iss 6, Pp 569-577 (2019)
The authors propose a video‐summarisation method based on visual and categorical diversities using pre‐trained deep visual and categorical models. Their method extracts visual and categorical features from a pre‐trained deep convolutional netwo
Externí odkaz:
https://doaj.org/article/0e22299bedda42bd8670fee74c1f8a11
Akademický článek
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