Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking

International Journal of Computer Vision ◽

10.1007/s11263-010-0399-6 ◽

2010 ◽

Vol 91 (3) ◽

pp. 303-327 ◽

Author(s):

Weiming Hu ◽

Xi Li ◽

Xiaoqin Zhang ◽

Xinchu Shi ◽

Stephen Maybank ◽

...

Keyword(s):

Subspace Learning ◽

Foreground Segmentation ◽

Tensor Subspace ◽

Segmentation And Tracking

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Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning

Information Sciences ◽

10.1016/j.ins.2021.02.054 ◽

2021 ◽

Vol 563 ◽

pp. 290-308

Author(s):

Haiyan Wang ◽

Guoqiang Han ◽

Junyu Li ◽

Bin Zhang ◽

Jiazhou Chen ◽

...

Keyword(s):

Learning Task ◽

Subspace Learning ◽

Affinity Matrix ◽

Tensor Subspace

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Bayesian foreground segmentation and tracking using pixel-wise background model and region based foreground model

2009 16th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2009.5414380 ◽

2009 ◽

Author(s):

Jaime Gallego ◽

Montse Pardas ◽

Gloria Haro

Keyword(s):

Background Model ◽

Foreground Segmentation ◽

Segmentation And Tracking

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Robust Visual Tracking Based on Incremental Tensor Subspace Learning

2007 IEEE 11th International Conference on Computer Vision ◽

10.1109/iccv.2007.4408950 ◽

2007 ◽

Author(s):

Xi Li ◽

Weiming Hu ◽

Zhongfei Zhang ◽

Xiaoqin Zhang ◽

Guan Luo

Keyword(s):

Visual Tracking ◽

Subspace Learning ◽

Tensor Subspace

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Low-Rank Tensor Subspace Learning for RGB-D Action Recognition

IEEE Transactions on Image Processing ◽

10.1109/tip.2016.2589320 ◽

2016 ◽

Vol 25 (10) ◽

pp. 4641-4652 ◽

Author(s):

Chengcheng Jia ◽

Yun Fu

Keyword(s):

Action Recognition ◽

Subspace Learning ◽

Low Rank ◽

Rank Tensor ◽

Tensor Subspace

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Microcalcification Clusters Detection with Tensor Subspace Learning and Twin SVMs

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4593187 ◽

2008 ◽

Author(s):

Xinsheng Zhang ◽

Xinbo Gao ◽

Ying Wang

Keyword(s):

Subspace Learning ◽

Tensor Subspace ◽

Microcalcification Clusters

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3D human pose regression via robust sparse tensor subspace learning

Multimedia Tools and Applications ◽

10.1007/s11042-015-3186-0 ◽

2016 ◽

Vol 76 (2) ◽

pp. 2399-2439 ◽

Author(s):

Jialin Yu ◽

Jifeng Sun

Keyword(s):

Subspace Learning ◽

Tensor Subspace ◽

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Probabilistic tensor subspace learning : foundations and innovations

10.5353/th_991044014366703414 ◽

2017 ◽

Author(s):

Lei Cheng

Keyword(s):

Subspace Learning ◽

Tensor Subspace

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Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-319-11758-4_11 ◽

2014 ◽

pp. 94-103 ◽

Author(s):

Andrews Sobral ◽

Christopher G. Baker ◽

Thierry Bouwmans ◽

El-hadi Zahzah

Keyword(s):

Subspace Learning ◽

Background Modeling ◽

Tensor Subspace

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Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) ◽

10.1109/iccvw.2019.00072 ◽

2019 ◽

Author(s):

Lei He ◽

Hongwei Yang ◽

Lina Zhao

Keyword(s):

Hyperspectral Image ◽

Subspace Learning ◽

Local Discriminant Embedding ◽

Tensor Subspace

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SINGLE-CHANNEL EEG CLASSIFICATION BY MULTI-CHANNEL TENSOR SUBSPACE LEARNING AND REGRESSION

2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2018.8516927 ◽

2018 ◽

Author(s):

Simon Van Eyndhoven ◽

Martijn Bousse ◽

Borbala Hunyadi ◽

Lieven De Lathauwer ◽

Sabine Van Huffel

Keyword(s):

Single Channel ◽

Subspace Learning ◽

Eeg Classification ◽

Tensor Subspace

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