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Many computer vision and robotics problems can be formu- lated as problems of finding solutions to systems of poly- nomial equations. Examples include minimal ...
This article gives a broad picture of mathemat- ical image processing through one of the most re- cent and very successful approaches—the varia- tional PDE ( ...
This part of the book should be accessible to advanced undergraduate students and graduate students aiming to go deeper in certain topics of deep learning.
Deep learning approaches to mathematical rea- soning tasks can also make use of other neural networks, such as convolutional neural networks. (CNN) and ...
Using the origin as a reference point, translations of the structuring element can be placed anywhere on the image and can be used to either enlarge a region by ...
Currently, there is no conventional formula for brightness calculation, and the same image-processing tool may employ several different brightness measures ...
Our decision to focus on the applications of computer vision to fun problems such as image stitching and photo-based 3D modeling from personal photos seemed ...
We aim for a new approach which uses a computer to perform a mathematical computation symbolically. This computation must solve a linear system of equations, ...
by G Kutyniok · 2023 · Cited by 5 — Deep learning for mathematics. This direction focusses on mathematical problem settings such as inverse problems and numerical analysis of partial differential.
