Name
Abstract | ||
|---|---|---|
The concept of robustness in statistics is examined. Starting from the concepts of the breakdown point and equivariance properties of an estimator, the desired equivariance properties for shape fitting are defined, and high breakdown point methods with these properties are found |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1109/CVPR.1992.223138 | CVPR |
Keywords | Field | DocType |
computer vision,parameter estimation,breakdown point,equivariance properties,estimator,robust statistics,shape fitting,error correction,robustness,statistics,shape,computer science | Computer vision,Computer science,Robust statistics,Robustness (computer science),Error detection and correction,Artificial intelligence,Estimation theory,Shape fitting,Invariant estimator,Estimator,Breakdown point | Conference |
Volume | Issue | ISSN |
1992 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-8186-2855-3 | 14 | 3.57 |
References | Authors | |
6 | 2 | |