TR2016-004
An Online Tensor Robust PCA Algorithm for Sequential 2D Data
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- "An Online Tensor Robust PCA Algorithm for Sequential 2D Data", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2016.7472114, March 2016, pp. 2434-2438.BibTeX TR2016-004 PDF
- @inproceedings{Zhang2016mar,
- author = {Zhang, Ziming and Liu, Dehong and Aeron, Shuchin and Vetro, Anthony},
- title = {An Online Tensor Robust PCA Algorithm for Sequential 2D Data},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2016,
- pages = {2434--2438},
- month = mar,
- doi = {10.1109/ICASSP.2016.7472114},
- url = {https://www.merl.com/publications/TR2016-004}
- }
,
- "An Online Tensor Robust PCA Algorithm for Sequential 2D Data", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2016.7472114, March 2016, pp. 2434-2438.
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MERL Contacts:
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Research Areas:
Computational Sensing, Digital Video
Abstract:
Tensor robust principal component analysis (PCA) approaches have drawn considerable interests in many applications such as background subtraction, denoising, and outlier detection, etc. In this paper we propose an online tensor robust PCA where the multidimensional data (tensor) is revealed sequentially in online mode, and tensor PCA is updated based on the latest estimation and the newly collected data. Compared to the tensor robust PCA in batch mode, we significantly reduce the required memory and improve the computation efficiency. Application on fusing cloud-contaminated satellite images demonstrates that the proposed method shows superiority in both convergence speed and performance compared to the state-of-the-art approaches.
Related News & Events
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NEWS MERL researchers present 12 papers at ICASSP 2016 Date: March 20, 2016 - March 25, 2016
Where: Shanghai, China
MERL Contacts: Petros T. Boufounos; Chiori Hori; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Philip V. Orlik; Anthony Vetro
Research Areas: Computational Sensing, Digital Video, Speech & Audio, Communications, Signal ProcessingBrief- MERL researchers have presented 12 papers at the recent IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which was held in Shanghai, China from March 20-25, 2016. ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing, with more than 1200 papers presented and over 2000 participants.