Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding
We present a multi-layer group sparse coding framework for concurrent single-label image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes...
Main Authors: | Gao, Shenghua, Chia, Liang-Tien, Tsang, Ivor Wai-Hung, Ren, Zhixiang |
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Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/81696 http://hdl.handle.net/10220/39673 |
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