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Matrix Completion for Cross-view Pairwise Constraint Propagation

Published: 03 November 2014 Publication History

Abstract

As pairwise constraints are usually easier to access than label information, pairwise constraint propagation attracts more and more attention in semi-supervised learning. Most existing pairwise constraint propagation methods are based on canonical graph propagation model, which heavily depends on the edge weights in the graph and cannot preserve local and global consistency simultaneously. In order to address this drawback, we cast cross-view pairwise constraint propagation into a problem of low rank matrix completion and propose a Matrix Completion method for cross-view Pairwise Constraint Propagation(MCPCP). With low rank requirement and graph regularization, our MCPCP can preserve local and global consistency simultaneously. We develop an algorithm based on alternating direction method of multipliers(ADMM) to solve the optimization problem. Finally, the effectiveness of MCPCP is demonstrated in cross-view multimedia retrieval.

References

[1]
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends R -- in Machine Learning, 3(1):1--122, 2011.
[2]
D. Cai, X. He, J. Han, and T. S. Huang. Graph regularized nonnegative matrix factorization for data representation. IEEE Transactions on PAMI, 33(8):1548--1560, 2011.
[3]
J.-F. Cai, E. J. Cand'es, and Z. Shen. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4):1956--1982, 2010.
[4]
M. Karasuyama and H. Mamitsuka. Manifold-based similarity adaptation for label propagation. In NIPS, pages 1547--1555, 2013.
[5]
R. M. Larsen. Lanczos bidiagonalization with partial reorthogonalization. DAIMI Report Series, 27(537), 1998.
[6]
G. Liu, Z. Lin, S. Yan, J. Sun, Y. Yu, and Y. Ma. Robust recovery of subspace structures by low-rank representation. IEEE Transactions on PAMI, 35(1):171--184, 2013.
[7]
G. Liu, Z. Lin, and Y. Yu. Robust subspace segmentation by low-rank representation. In ICML, pages 663--670, 2010.
[8]
Z. Lu and Y. Peng. Unified constraint propagation on multi-view data. In AAAI, 2013.
[9]
N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. R. Lanckriet, R. Levy, and N. Vasconcelos. A new approach to cross-modal multimedia retrieval. In ACM MM, pages 251--260. ACM, 2010.
[10]
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, volume 16, pages 321--328, 2003.
[11]
X. Zhu, Z. Ghahramani, J. Lafferty, et al. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, volume 3, pages 912--919, 2003.
[12]
L. Zhuang, H. Gao, Z. Lin, Y. Ma, X. Zhang, and N. Yu. Non-negative low rank and sparse graph for semi-supervised learning. In CVPR, pages 2328--2335. IEEE, 2012.

Cited By

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  • (2025)Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directionsArtificial Intelligence Review10.1007/s10462-024-11103-858:5Online publication date: 7-Mar-2025
  • (2022)Semisupervised Affinity Matrix Learning via Dual-Channel Information RecoveryIEEE Transactions on Cybernetics10.1109/TCYB.2020.304149352:8(7919-7930)Online publication date: Aug-2022
  • (2022)UAV-Satellite View Synthesis for Cross-View Geo-LocalizationIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.312198732:7(4804-4815)Online publication date: Jul-2022
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  1. Matrix Completion for Cross-view Pairwise Constraint Propagation

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    cover image ACM Conferences
    MM '14: Proceedings of the 22nd ACM international conference on Multimedia
    November 2014
    1310 pages
    ISBN:9781450330633
    DOI:10.1145/2647868
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 03 November 2014

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    Author Tags

    1. matrix completion
    2. multimedia retrieval
    3. pairwise constraint propagation

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    MM '14: 2014 ACM Multimedia Conference
    November 3 - 7, 2014
    Florida, Orlando, USA

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    MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;
    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2025)Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directionsArtificial Intelligence Review10.1007/s10462-024-11103-858:5Online publication date: 7-Mar-2025
    • (2022)Semisupervised Affinity Matrix Learning via Dual-Channel Information RecoveryIEEE Transactions on Cybernetics10.1109/TCYB.2020.304149352:8(7919-7930)Online publication date: Aug-2022
    • (2022)UAV-Satellite View Synthesis for Cross-View Geo-LocalizationIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.312198732:7(4804-4815)Online publication date: Jul-2022
    • (2021)Joint Optimization for Pairwise Constraint PropagationIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2020.300995332:7(3168-3180)Online publication date: Jul-2021
    • (2020)Pairwise Constraint Propagation With Dual Adversarial Manifold RegularizationIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2020.297019531:12(5575-5587)Online publication date: Dec-2020

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