Efficient LAD Line Fitting with Piecewise Affine Lower-Bounding
Analysis
This ArXiv paper presents a new method for efficiently fitting lines using the Least Absolute Deviations (LAD) approach. The core innovation lies in the use of piecewise affine lower-bounding techniques to accelerate computation.
Key Takeaways
- •The paper focuses on improving the speed and accuracy of LAD line fitting.
- •It utilizes piecewise affine lower-bounding to achieve computational efficiency.
- •The work has implications for various applications requiring robust linear modeling.
Reference / Citation
View Original"Fast and Exact Least Absolute Deviations Line Fitting via Piecewise Affine Lower-Bounding"