IMO Math is like ‘Acrobatics’ to real ‘Kung-fu’, it is not real Math education, but special ‘cute’ techniques to solve tough ‘known’ solution problems. Real Math is long R&D solving problems with UNKNOWN solution (eg. Fermat’s Last Theorem, Riemann Conjecture,…) 2 types of Math...
This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance the size and quality of training datasets such that better Deep Learning models can be built using them. The image augmentation algorithms...
ArticleMathSciNetGoogle Scholar Brooks, T., & Barron, J.T. (2019). Learning to synthesize motion blur. In IEEE Conference on Computer Vision and Pattern Recognition. Chakrabarti, A. (2016). A neural approach to blind motion deblurring. In European Conference on Computer Vision. ...
It is also expected to serve as a major foundation for prospective digital twin frameworks, enabling smart cokemaking and further enhancing energy efficiency in collaboration with other technologies. Considering the multivariate, nonlinear, and intricate characteristics inherent in the coke production ...
Here's a fiddle of my solution so far, the problem I'm having is that images that don't fully fit into view plus the hidden area to the left get moved to a new line. You can see the problem by clicking the "Show content size" button, the width of the content element...
Image segmentation is the process of separating pixels of an image into multiple classes, enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method used to perform this task, and the problem is to obtain an optimal threshol
Deep learning emerges as a pivotal solution in this context. Owing to their intrinsic flexibility and powerful learning capabilities, deep neural network architectures stand out as optimal solutions for the challenges previously highlighted in image denoising. The advent and progressive development of deep...
AMD FidelityFX Super Resolution (FSR) is an open source, high-quality solution for producing high resolution frames from lower resolution inputs. It uses a collection of cutting-edge Deep Learning algorithms with a particular emphasis on creating high-quality edges, giving large performance improvement...
In recent years, it has been revealed that machine learning models can produce discriminatory predictions. Hence, fairness protection has come to play a pi
First, let us say that in this case one could make use of the iterative scheme (10) with α=γ=0 and β=1 to solve the eikonal equation, however, for faster computations, it is preferable to use a monotone algorithm where we have an explicit formula for the solution10. Let G=(V,...