Auxiliary Information Regularized Machine for Multiple Modality Feature Learning

Yang, Yang; Ye, Han-Jia; Zhan, De-Chuan; Jiang, Yuan

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning

Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1033-1038.

Abstract

In real world applications, data are often with multiple modalities. Previous works assumed that each modality contains sufficient information for target and can be treated with equal importance. However, it is often that different modalities are of various importance in real tasks, e.g., the facial feature is weak modality and the fingerprint feature is strong modality in ID recognition. In this paper, we point out that different modalities should be treated with different strategies and propose the Auxiliary information Regularized Machine (ARM), which works by extracting the most discriminative feature subspace of weak modality while regularizing the strong modal predictor. Experiments on binary and multi-class datasets demonstrate the advantages of our proposed approach ARM.

Yang Yang, Han-Jia Ye, De-Chuan Zhan, and Yuan Jiang. 2015. Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 1033–1038. https://ijcai.org/proceedings/2015/150

@inproceedings{ijcai2015p150,
  title     = {Auxiliary Information Regularized Machine for Multiple Modality Feature Learning},
  author    = {Yang, Yang and Ye, Han-Jia and Zhan, De-Chuan and Jiang, Yuan},
  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     = {1033--1038},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/150},
}

TY  - CPAPER
TI  - Auxiliary Information Regularized Machine for Multiple Modality Feature Learning
AU  - Yang, Yang
AU  - Ye, Han-Jia
AU  - Zhan, De-Chuan
AU  - Jiang, Yuan
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 1033
EP  - 1038
UR  - https://ijcai.org/proceedings/2015/150
ER  -