ICRA 2017poster5 citations

Multi-label tactile property analysis

Huaping Liu, Yupei Wu, Fuchun Sun, Di Guo, Bin Fang

Abstract

In this paper, we exploit the intrinsic relation between different adjective labels and develop a novel multilabel dictionary learning and sparse coding method which is improved by introducing the structured output association information. Such a method makes use of the label correlation information and is more suitable for the multi-label tactile understanding task. In addition, we develop a globally-convergent iterative algorithms to solve the dictionary learning problem. Finally, we perform extensive experimental validations on the public available tactile sequence dataset PHAC-2 and show the advantages of the proposed method.

BibTeX
@inproceedings{icra2017_multilabeltactil,
  title = {Multi-label tactile property analysis},
  author = {Huaping Liu and Yupei Wu and Fuchun Sun and Di Guo and Bin Fang},
  booktitle = {ICRA 2017},
  year = {2017}
}
Multi-label tactile property analysis · ICRA 2017