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L1-Subspace Tracking for Streaming Data

  • Published:2020-01 Issue: Volume:97 Page:106992
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Liu YingORCID,Tountas Konstantinos,Pados Dimitris A.,Batalama Stella N.,Medley Michael J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Robust Subspace Computation Using L1 Norm;Ke,2003

2. Robust L1 norm factorization in the presence of outliers and missing data by alternative convex programming;Ke,2005

3. Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm;Eriksson,2010

4. An efficient algorithm for L1-norm principal component analysis;Yu,2012

5. Robust principal component analysis?;Candès;J. ACM (JACM),2011

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1. A Survey of Efficient Deep Learning Models for Moving Object Segmentation;APSIPA Transactions on Signal and Information Processing;2023

2. Subspace reconstruction based correlation filter for object tracking;Computer Vision and Image Understanding;2021-11

3. TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text;2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2021-06

4. Dynamic L1-Norm Tucker Tensor Decomposition;IEEE Journal of Selected Topics in Signal Processing;2021-04

5. A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection;IEEE Access;2021
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