#smoothing — Public Fediverse posts

In 2003, Paul Eilers published a paper titled “A Perfect Smoother” [1], re-implementing and extending early ideas published by Whittaker in the 1920s [2].

The method is based on a penalised least square approach, also called Tikhonov regularization (also called ridge regression!) and is a very general approach to deal with smoothing noisy data, overcoming some of the limitations of the Savitzky-Golay method.

Read more on my recent blog post 👇

https://nirpyresearch.com/whittaker-smoothing/

[1] Paul H. C. Eilers (2003). A Perfect Smoother, Anal. Chem. 75 (14): 3631–3636.
[2] E. T. Whittaker (1922). On a New Method of Graduation, Proceedings of the Edinburgh Mathematical Society, 41: 63 – 75.

#spectroscopy #smoothing #DataProcessing #ImageProcessing #Python #MachineLearning #Regression

Watch Bondo Putty Get Sprayed Onto 3D Prints - 3D prints destined for presentation need smooth surfaces, and that usually means s... - https://hackaday.com/2025/08/31/watch-bondo-putty-get-sprayed-onto-3d-prints/ #3dprinterhacks #toolhacks #3dprinted #smoothing #airbrush #acetone #sanding #bondo

Watch Bondo Putty Get Sprayed Onto 3D Prints https://hackaday.com/2025/08/31/watch-bondo-putty-get-sprayed-onto-3d-prints/ #3dPrinterhacks #ToolHacks #3dprinted #smoothing #airbrush #acetone #sanding #bondo

'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

http://jmlr.org/papers/v26/23-1578.html

#sparse #nonparametric #smoothing

'Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization', by Hao Wang, Ye Wang, Xiangyu Yang.

http://jmlr.org/papers/v25/23-0449.html

#minimization #optimization #smoothing

'Random Smoothing Regularization in Kernel Gradient Descent Learning', by Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao.

http://jmlr.org/papers/v25/23-0580.html

#regularization #smoothing #gradient

#art #generativeart #process #digital #alchemy #code #smoothing #bug 👁️

'Functions with average smoothness: structure, algorithms, and learning', by Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich.

http://jmlr.org/papers/v25/23-0182.html

#smoothing #smoothness #bounding

'Nonparametric Regression for 3D Point Cloud Learning', by Xinyi Li, Shan Yu, Yueying Wang, Guannan Wang, Li Wang, Ming-Jun Lai.

http://jmlr.org/papers/v25/22-0735.html

#smoothing #3d #clouds

'Additive smoothing error in backward variational inference for general state-space models', by Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff.

http://jmlr.org/papers/v25/22-1392.html

#variational #smoothing #estimation

#Python #KalmanFilter #DataScience #stockmarket #finanace #fintech #smoothing #filtering #noise #time-seriees #prediction #technology
A gentle introduction to basic 1D Kalman filter the form of hands-on numerical examples: time-series forecast, smoothing

http://newdigitals.org/2024/01/28/anatomy-of-the-robust-1d-kalman-filter/

If that Christmas movie looks like a soap opera:

#ChristmasMovie #smoothing #motion

Some of the algorithms introduced in our paper (with Dang) on the complexity of smoothing algorithms now implemented in my python package particles. More details here:
https://statisfaction.wordpress.com/2022/11/09/new-smoothing-algorithms-in-particles/
#python #particles #SMC #smoothing

Smoothing Big Fonts on Graphic LCDs - Here’s a neat little trick: take the jaggies out of scaled fonts on the fly! This technique is for u... - https://hackaday.com/2020/10/25/smoothing-big-fonts-on-graphic-lcds/ #microcontrollers #softwarehacks #graphiclcd #smoothing #scaling #font #oled

efficient pixels sub sampling: process allows to compute a color anywhere in an image without processing distances, just 3 linear interpolations (much faster) - implemented in gdscript
#gamedev #sampling #smoothing #subpixel #texture #2d #inkscape
@polymorphcool