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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changhu Wang Zheng Song Shuicheng Yan Lei Zhang Hong-Jiang Zhang |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore (Zheng Song; Shuicheng Yan) || MOE-MS Key Lab. of MCC, Univ. of Sci. & Technol. of China, Hefei, China (Changhu Wang) || Microsoft Res. Asia, Beijing, China (Lei Zhang) || Microsoft Adv. Technol. Center, Beijing, China (Hong-Jiang Zhang) |
| Abstract | In this paper, we study the problem of nonnegative graph embedding, originally investigated in [J. Yang et al., 2008] for reaping the benefits from both nonnegative data factorization and the specific purpose characterized by the intrinsic and penalty graphs. Our contributions are two-fold. On the one hand, we present a multiplicative iterative procedure for nonnegative graph embedding, which significantly reduces the computational cost compared with the iterative procedure in [14] involving the matrix inverse calculation of an M-matrix. On the other hand, the nonnegative graph embedding framework is expressed in a more general way by encoding each datum as a tensor of arbitrary order, which brings a group of byproducts, e.g., nonnegative discriminative tensor factorization algorithm, with admissible time and memory cost. Extensive experiments compared with the state-of-the-art algorithms on nonnegative data factorization, graph embedding, and tensor representation demonstrate the algorithmic properties in computation speed, sparsity, discriminating power, and robustness to realistic image occlusions. |
| Starting Page | 389 |
| Ending Page | 396 |
| File Size | 860777 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424439928 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2009.5206865 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tensile stress Asia Computational efficiency Encoding Iterative algorithms Costs Embedded computing Robustness Psychology Humans |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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