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Keyword

subspace learning

Description: Machine-learning methods that discover low-dimensional subspaces or representations from data for tasks such as classification and recognition.
OpenAlex ID: keywords/subspace-learning
Person re-identification by Local Maximal Occurrence representation and metric learning
2015 · Shengcai Liao, Yang Hu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,137
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Neighborhood preserving embedding
2005 · Xiaofei He, Deng Cai, et al. · 1,610
A Survey on Multi-view Learning
2013 · Xu, Chang, Tao, Dacheng, et al. · arXiv (Cornell University) · 983
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Learning with $\ell ^{1}$-graph for image analysis
2010 · Bin Cheng, Jianchao Yang, et al. · IEEE Transactions on Image Processing · 602
Jointly Learning Heterogeneous Features for RGB-D Activity Recognition
2016 · Jian-Fang Hu, Wei-Shi Zheng, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 393
Learning a Spatially Smooth Subspace for Face Recognition
2007 · Deng Cai, Xiaofei He, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 382
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
2012 · Jun He, L. Balzano, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 369
Jointly learning heterogeneous features for RGB-D activity recognition
2015 · Jian-Fang Hu, Wei-Shi Zheng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 358
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
2010 · Elnaz Barshan, Ali Ghodsi, et al. · Pattern Recognition · 343
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
2016 · Xiaofeng Zhu, Xuelong Li, et al. · IEEE Transactions on Neural Networks and Learning Systems · 339
A Comprehensive Survey to Face Hallucination
2013 · Nannan Wang, Dacheng Tao, et al. · International Journal of Computer Vision · 339
Tensor Canonical Correlation Analysis for Action Classification
2007 · Tae-Kyun Kim, Shu-Fai Wong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 332
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
2015 · Kaiye Wang, Ran He, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 318
Exclusivity-Consistency Regularized Multi-view Subspace Clustering
2017 · Xiaobo Wang, Xiaojie Guo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 298
Generalized Transfer Subspace Learning Through Low-Rank Constraint
2014 · Ming Shao, Dmitry Kit, et al. · International Journal of Computer Vision · 298
Modeling the constraints of human hand motion
2002 · John Lin, Ying Wu, et al. · 283
Learning from facial aging patterns for automatic age estimation
2006 · Xin Geng, Zhi-Hua Zhou, et al. · ACM International Conference on Multimedia (ACM MM) · 281
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering
2016 · Xi Peng, Zhiding Yu, et al. · IEEE Transactions on Cybernetics · 257
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LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation
2016 · Lei Zhang, Wangmeng Zuo, et al. · IEEE Transactions on Image Processing · 255
Recognizing Partially Occluded, Expression Variant Faces From Single Training Image per Person With SOM and Soft $k$ -NN Ensemble
2005 · X. Tan, S. Chen, et al. · IEEE Transactions on Neural Networks · 244
On incremental and robust subspace learning
2004 · Yongmin Li · Pattern Recognition · 237
Neighborhood linear discriminant analysis
2021 · Fa Zhu, Junbin Gao, et al. · Pattern Recognition · 223
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization
2017 · Ke Yan, Lu Kou, et al. · IEEE Transactions on Cybernetics · 220
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Project-Out Cascaded Regression with an application to face alignment
2015 · Georgios Tzimiropoulos · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 220
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification
2015 · Xiaofeng Zhu, Heung-Il Suk, et al. · IEEE Transactions on Biomedical Engineering · 218
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Works count: 2,035
Citation count: 36,400
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