Manifold Transfer Learning via Discriminant Regression Analysis

[1]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Cheng Wu,et al.  Domain Space Transfer Extreme Learning Machine for Domain Adaptation , 2019, IEEE Transactions on Cybernetics.

[3]  Ming Shao,et al.  Generalized Transfer Subspace Learning Through Low-Rank Constraint , 2014, International Journal of Computer Vision.

[4]  Kaiqi Huang,et al.  Mixed Supervised Object Detection with Robust Objectness Transfer , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Liqiang Nie,et al.  Predicting Image Memorability Through Adaptive Transfer Learning From External Sources , 2017, IEEE Transactions on Multimedia.

[6]  Yueting Zhuang,et al.  Multi-Label Transfer Learning With Sparse Representation , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  David Zhang,et al.  Guide Subspace Learning for Unsupervised Domain Adaptation , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[8]  David Zhang,et al.  Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation , 2016, IEEE Transactions on Image Processing.

[9]  Meng Wang,et al.  Constrained Low-Rank Learning Using Least Squares-Based Regularization , 2016, IEEE Transactions on Cybernetics.

[10]  Yi Ma,et al.  The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.

[11]  Wei Zhang,et al.  Active Transfer Learning , 2020, IEEE Transactions on Circuits and Systems for Video Technology.

[12]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[13]  Philip S. Yu,et al.  Transfer Feature Learning with Joint Distribution Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.

[14]  Yong Luo,et al.  Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Yuting Su,et al.  Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification , 2020, IEEE Signal Processing Letters.

[16]  Ming Shao,et al.  Deep Low-Rank Coding for Transfer Learning , 2015, IJCAI.

[17]  Sethuraman Panchanathan,et al.  Deep Hashing Network for Unsupervised Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[18]  Fu-Lai Chung,et al.  Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation , 2019, IEEE Transactions on Knowledge and Data Engineering.

[19]  Xuelong Li,et al.  Nuclear Norm-Based 2DLPP for Image Classification , 2017, IEEE Transactions on Multimedia.

[20]  Dacheng Tao,et al.  Bregman Divergence-Based Regularization for Transfer Subspace Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[21]  Paolo Favaro,et al.  Boosting Self-Supervised Learning via Knowledge Transfer , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[22]  David Zhang,et al.  LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation , 2016, IEEE Transactions on Image Processing.

[23]  Sameer A. Nene,et al.  Columbia Object Image Library (COIL100) , 1996 .

[24]  Wai Keung Wong,et al.  Low-Rank Linear Embedding for Image Recognition , 2018, IEEE Transactions on Multimedia.

[25]  Songhwai Oh,et al.  Elastic-net regularization of singular values for robust subspace learning , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[26]  Jian Yang,et al.  Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[27]  Yong Luo,et al.  Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach , 2018, IEEE Transactions on Multimedia.

[28]  Xuelong Li,et al.  Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation , 2016, IEEE Transactions on Image Processing.

[29]  Stephen Lin,et al.  Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Xuelong Li,et al.  Matrix Completion Based on Non-Convex Low-Rank Approximation , 2019, IEEE Transactions on Image Processing.

[31]  Chenwei Lu,et al.  Softly Associative Transfer Learning for Cross-Domain Classification , 2020, IEEE Transactions on Cybernetics.

[32]  Vladimir Pavlovic,et al.  PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[33]  Ivor W. Tsang,et al.  Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.

[34]  Meng Wang,et al.  Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction , 2018, IEEE Transactions on Knowledge and Data Engineering.

[35]  Liqiang Nie,et al.  Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction , 2020, IEEE Transactions on Multimedia.

[36]  Jianwen Tao,et al.  Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition , 2019, IEEE Access.

[37]  Bob Zhang,et al.  Class-Specific Reconstruction Transfer Learning for Visual Recognition Across Domains , 2019, IEEE Transactions on Image Processing.

[38]  Victor S. Lempitsky,et al.  Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.

[39]  Jian Yang,et al.  Nuclear Norm-Based 2-DPCA for Extracting Features From Images , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[40]  Robert Tibshirani,et al.  Spectral Regularization Algorithms for Learning Large Incomplete Matrices , 2010, J. Mach. Learn. Res..

[41]  Xuelong Li,et al.  Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation , 2019, IEEE Transactions on Cybernetics.

[42]  Shuicheng Yan,et al.  Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction , 2017, IEEE Transactions on Image Processing.

[43]  Feiping Nie,et al.  Discriminative Least Squares Regression for Multiclass Classification and Feature Selection , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[44]  Xuelong Li,et al.  Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[45]  Ling Shao,et al.  Transfer Learning for Visual Categorization: A Survey , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[46]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[47]  Ying Tai,et al.  Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[48]  Tao Liu,et al.  Discriminative kernel transfer learning via l2,1-norm minimization , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[49]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[50]  Michael I. Jordan,et al.  Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.