Learning Robust Representations for Data Analytics

Keywords

Computer science, Discriminative model, Linear subspace, Robustness (evolution), Noise (video)

References

• Multi-View Low-Rank Analysis for Outlier DetectionSheng Li, Ming Shao, Yun Fu — 2015
• Cross-View Projective Dictionary Learning for Person Re-IdentificationSheng Li, Ming Shao, Yun Fu — 2015
• Temporal Subspace Clustering for Human Motion SegmentationSheng Li, Kang Li, Yun Fu — 2015
• Learning Balanced and Unbalanced Graphs via Low-Rank CodingSheng Li, Yun Fu — 2015
• Robust principal component analysis?Emmanuel J. Candès, Xiaodong Li, Yi Ma — 2009
• Learning Robust and Discriminative Subspace With Low-Rank ConstraintsSheng Li, Yun Fu — 2016
• Robust Subspace Discovery through Supervised Low-Rank ConstraintsSheng Li, Yun Fu — 2014
• Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear ProjectionPeter N. Belhumeur, João P. Hespanha, David Kriegman — 1996

Cited by

• Robust data representations for visual learningSheng Li — 2017
• Robust Subspace LearningSheng Li, Y. Fu — 2017

Related papers

• Learning Robust Representations for Computer VisionPeng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy — 2017
• Laplacian Denoising AutoencoderJianbo Jiao, Linchao Bao, Yunchao Wei — 2020
• Hierarchically Robust Representation LearningQi Qian, Juhua Hu, Hao Li — 2019
• Robust dictionary learning with graph regularization for unsupervised person re-identificationCaixia Yan, Minnan Luo, Wenhe Liu — 2018
• Scalable feature learningQuoc V. Le — 2013
• Joint optimization of manifold learning and sparse representations for face and gesture analysisAndreas Savakis, Raymond Ptucha — 2013
• Similarity search in visual dataNikolaos Papanikolopoulos, Anoop Cherian — 2013
• Data Representation: Learning Kernels from Noisy Data and Uncertain InformationRong Jin, Anil K. Jain — 2010