Multi-task image classification via collaborative, hierarchical spike-and-slab priors

Hojjat S. Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac D. Tran

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    27 Scopus citations

    Abstract

    Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC). Recently, it has been shown that the use of class-specific spike-and-slab priors in conjunction with the class-specific dictionaries from SRC is particularly effective in low training scenarios. As a logical extension, we build on this framework for multitask scenarios, wherein multiple representations of the same physical phenomena are available. We experimentally demonstrate the benefits of mining joint information from different camera views for multi-view face recognition.

    Original languageEnglish (US)
    Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4236-4240
    Number of pages5
    ISBN (Electronic)9781479957514
    DOIs
    StatePublished - Jan 28 2014

    Publication series

    Name2014 IEEE International Conference on Image Processing, ICIP 2014

    All Science Journal Classification (ASJC) codes

    • Computer Vision and Pattern Recognition

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