Generalized Unsupervised Manifold Alignment
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Shiguang Shan | Xilin Chen | Zhen Cui | Hong Chang | S. Shan | Xilin Chen | Hong Chang | Zhen Cui
[1] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[2] Xuelong Li,et al. Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance , 2014, IEEE Transactions on Cybernetics.
[3] Rama Chellappa,et al. Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.
[4] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[5] Shiguang Shan,et al. Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Philip Wolfe,et al. An algorithm for quadratic programming , 1956 .
[7] R. Brualdi. Combinatorial Matrix Classes , 2006 .
[8] Ajmal S. Mian,et al. Sparse approximated nearest points for image set classification , 2011, CVPR 2011.
[9] Wen Gao,et al. Manifold-Manifold Distance with application to face recognition based on image set , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Ronald R. Coifman,et al. Data Fusion and Multicue Data Matching by Diffusion Maps , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[12] Ken-ichi Maeda,et al. Face recognition using temporal image sequence , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[13] Chang Wang,et al. Heterogeneous Domain Adaptation Using Manifold Alignment , 2011, IJCAI.
[14] Dan Klein,et al. Learning Bilingual Lexicons from Monolingual Corpora , 2008, ACL.
[15] Josef Kittler,et al. Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[17] Daniel D. Lee,et al. Semisupervised alignment of manifolds , 2005, AISTATS.
[18] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[19] Le Song,et al. Kernelized Sorting , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[21] Hakan Cevikalp,et al. Face recognition based on image sets , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] Shiguang Shan,et al. Image sets alignment for Video-Based Face Recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[24] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[25] Catherine A. Sugar,et al. Finding the Number of Clusters in a Dataset , 2003 .
[26] Sridhar Mahadevan,et al. Manifold alignment using Procrustes analysis , 2008, ICML '08.
[27] Tinne Tuytelaars,et al. Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.
[28] Hongbin Zha,et al. Unsupervised Image Matching Based on Manifold Alignment , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[30] Fei Wang,et al. Semi-definite Manifold Alignment , 2007, ECML.
[31] Yuan Shi,et al. Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation , 2012, ICML.
[32] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[33] Rajesh P. N. Rao,et al. Learning Shared Latent Structure for Image Synthesis and Robotic Imitation , 2005, NIPS.
[34] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.