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》 资源 》论文》T-Linkage: a Continuous Relaxation of J-Linkage for Multi-Model Fitting

T-Linkage: a Continuous Relaxation of J-Linkage for Multi-Model Fitting

2019-12-16 | |  38 |   38 |   0

Abstract

This paper presents an improvement of the J-linkage algorithm for fifitting multiple instances of a model to noisy data corrupted by outliers. The binary preference analysis implemented by J-linkage is replaced by a continuous (soft, or fuzzy) generalization that proves to perform better than J-linkage on simulated data, and compares favorably with state of the art methods on public domain real datasets.

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