Multi-Graph-View Learning for Complicated Object Classification

Wu, Jia; Pan, Shirui; Zhu, Xingquan; Cai, Zhihua; Zhang, Chengqi

Multi-Graph-View Learning for Complicated Object Classification

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Machine Learning. Pages 3953-3958.

Abstract

In this paper, we propose to represent and classify complicated objects. In order to represent the objects, we propose a multi-graph-view model which uses graphs constructed from multiple graph-views to represent an object. In addition, a bag based multi-graph model is further used to relax labeling by only requiring one label for a bag of graphs, which represent one object. In order to learn classification models, we propose a multi-graph-view bag learning algorithm (MGVBL), which aims to explore subgraph features from multiple graph-views for learning. By enabling a joint regularization across multiple graph-views, and enforcing labeling constraints at the bag and graph levels, MGVBL is able to discover most effective subgraph features across all graph-views for learning. Experiments on real-world learning tasks demonstrate the performance of MGVBL for complicated object classification.

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, and Chengqi Zhang. 2015. Multi-Graph-View Learning for Complicated Object Classification. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 3953–3958. https://ijcai.org/proceedings/2015/555

@inproceedings{ijcai2015p555,
  title     = {Multi-Graph-View Learning for Complicated Object Classification},
  author    = {Wu, Jia and Pan, Shirui and Zhu, Xingquan and Cai, Zhihua and Zhang, Chengqi},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {3953--3958},
  year      = {2015},
  month     = {7},
  note      = {Special Track on Machine Learning},
  url       = {https://ijcai.org/proceedings/2015/555},
}

TY  - CPAPER
TI  - Multi-Graph-View Learning for Complicated Object Classification
AU  - Wu, Jia
AU  - Pan, Shirui
AU  - Zhu, Xingquan
AU  - Cai, Zhihua
AU  - Zhang, Chengqi
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 3953
EP  - 3958
UR  - https://ijcai.org/proceedings/2015/555
ER  -