#smoothing — Public Fediverse posts

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

'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

'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

'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

'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