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Multi-label tactile property analysis | IEEE Conference Publication | IEEE Xplore

Multi-label tactile property analysis


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 i...Show More

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.
Date of Conference: 29 May 2017 - 03 June 2017
Date Added to IEEE Xplore: 24 July 2017
ISBN Information:
Conference Location: Singapore

References

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