Pixel art scaling algorithms are graphical filters that attempt to enhance the appearance of hand-drawn 2D pixel art graphics. These algorithms are a form...

This gallery shows the results of numerous image scaling algorithms. An image size can be changed in several ways. Consider resizing a 160x160 pixel photo...

algorithms aim to preserve edges in the image after scaling, unlike other algorithms, which can introduce staircase artifacts. Examples of algorithms...

scaling is applied is that gradient descent converges much faster with feature scaling than without it. It's also important to apply feature scaling if...

steps in a re-scaled version of the problem, then scaling the step back to the original problem. The scaling ensures that the algorithm can continue to...

hqx ("high quality scale") is a set of 3 image upscaling algorithms developed by Maxim Stepin. The algorithms are hq2x, hq3x, and hq4x, which magnify by...

geometry, uniform scaling (or isotropic scaling) is a linear transformation that enlarges (increases) or shrinks (diminishes) objects by a scale factor that...

space use in hardware to perform the same functions as floating-point algorithms, by reusing the exponent; some operations over multiple values between...

with integer constraints and non-convex problems. Algorithm Affine-Scaling Since the actual algorithm is rather complicated, researchers looked for a more...

practice. These algorithms are called auction algorithms, push-relabel algorithms, or preflow-push algorithms. Some of these algorithms were shown to be...

In statistics, generalized iterative scaling (GIS) and improved iterative scaling (IIS) are two early algorithms used to fit log-linear models, notably...

Richard E.; Tovey, Craig A. (1991). "The simplex and projective scaling algorithms as iteratively reweighted least squares methods". SIAM Review. 33...

attracted. 2x means two-times magnification. Comparison gallery of image scaling algorithms "Amplía la resolución de tus imágenes con este portal web". TekCrispy...

596–615. doi:10.1145/28869.28874. S2CID 7904683. Gabow, H. N. (1983). "Scaling algorithms for network problems" (PDF). Proceedings of the 24th Annual Symposium...

distance or even geodesic distance. Local Multidimensional Scaling performs multidimensional scaling in local regions, and then uses convex optimization to...

theory. In particular, there exist numerically exact and polynomially-scaling algorithms to exactly study static properties of boson systems without geometrical...

known as Principal Coordinates Analysis (PCoA), Torgerson Scaling or Torgerson–Gower scaling. It takes an input matrix giving dissimilarities between pairs...

applications do not scale horizontally. Network function virtualization defines these terms differently: scaling out/in is the ability to scale by adding/removing...

poor overclocking). Dynamic frequency scaling almost always appear in conjunction with dynamic voltage scaling, since higher frequencies require higher...

practice the algorithm is slower. Other algorithms for the task are reviewed by Duan and Pettie (see Table I). In terms of approximation algorithms, they also...

bilinear, trilinear, anisotropic, and custom algorithms) Vignette Post-production Pixel-art scaling algorithms "Aggregate G-Buffer Anti-Aliasing". Archived...

common to other image scaling algorithms. For example, staircase artifacts on diagonal lines and curves are eliminated. The algorithm resizes an image to...

algorithms are often referred to as "sequential algorithms", by contrast with concurrent algorithms. Algorithms vary significantly in how parallelizable they...

perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....

mining algorithms occur in the wider data set. Not all patterns found by the algorithms are necessarily valid. It is common for data mining algorithms to...

is a computer scientist known for research on combinatorial algorithms, graph algorithms and data structures. He is a Professor Emeritus at the University...

learning, a neural scaling law is an empirical scaling law that describes how neural network performance changes as key factors are scaled up or down. These...

Ashes We Rise" about the algorithms she has developed to process big data. Anima Anandkumar has also developed AI algorithms that with applications in...

provided, the complexity of certain algorithms poses a barrier to understanding their functioning. Furthermore, algorithms may change, or respond to input...