Robust Locally Weighted Regression and Smoothing Scatterplots

Review : Nonparametric Simple Regression : Smoothing Scatterplots

Robust Locally Weighted Regression for Aesthetically Pleasing Region-of-Interest Video Generation

One method for automating the recording of a scene is to use an object tracker on a stationary video which captures a large portion of the scene containing the object. The object tracker attempts to localize the object to be recorded at each time step. These algorithms focus on minimizing localization error, but fail to address any videography concerns which would arise from using these tracker...

Locally weighted regression models for surrogate-assisted design optimization

Locally weighted regression combines the advantages of polynomial regression and kernel smoothing. We present three ideas for appropriate and effective use of LOcally WEighted Scatterplot Smoothing (LOWESS) models for surrogate optimization. First, a method is proposed to reduce the computational cost of LOWESS models. Second, a local scaling coefficient is introduced to adapt LOWESS models to ...

Estimation of Vehicle Trajectories with Locally Weighted Regression

laborious. In particular, under congested conditions, manual processing may be required, since automated approaches fail to identify the vehicles reliably. As a result, there may be measurement errors as well as missing data points in the extracted data set. A method is proposed here to perform the task of extracting useful information from position data efficiently while the ability to recover...

Enhancing scatterplots with smoothed densities

MOTIVATION Scatterplots of microarray data generally contain a very large number of dots, making it difficult to get a good impression of their distribution in dense areas. RESULTS We present a fast and simple algorithm for two-dimensional histogram smoothing, to visually enhance scatterplots. AVAILABILITY Functions for Matlab and R are available from the corresponding author.