Multi-class Graph Boosting with Subgraph Sharing for Object Recognition

Abstract

In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base classifier, and utilizes popular error correcting output code scheme to solve multi-class problem. Both factors, base classifier and error-correcting coding matrix are considered simultaneously. And subgragphs, which are shareable by different classes, are wisely used to improve the classification performance. The experimental results on multi-class object recognition show the effectiveness of the proposed algorithm.

DOI: 10.1109/ICPR.2010.381

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Cite this paper

@inproceedings{Zhang2010MulticlassGB, title={Multi-class Graph Boosting with Subgraph Sharing for Object Recognition}, author={Bang Zhang and Getian Ye and Yang Wang and Wei Wang and Jie Xu and Gunawan Herman and Yun Yang}, booktitle={ICPR}, year={2010} }