Initializing probabilistic linear discriminant analysis
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Stefanos Zafeiriou | Yannis Panagakis | Mihalis A. Nicolaou | Stylianos Moschoglou | S. Zafeiriou | Stylianos Moschoglou | Yannis Panagakis | M. Nicolaou
[1] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[2] Vladimir Pavlovic,et al. Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Maja Pantic,et al. A Unified Framework for Probabilistic Component Analysis , 2013, ECML/PKDD.
[4] James H. Elder,et al. Probabilistic Linear Discriminant Analysis for Inferences About Identity , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[5] Dit-Yan Yeung,et al. Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension , 2009, ECML/PKDD.
[6] Samuel Kaski,et al. Bayesian Canonical correlation analysis , 2013, J. Mach. Learn. Res..
[7] Sergey Ioffe,et al. Probabilistic Linear Discriminant Analysis , 2006, ECCV.
[8] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[9] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[10] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[11] Juyang Weng,et al. Using Discriminant Eigenfeatures for Image Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Umar Mohammed,et al. Probabilistic Models for Inference about Identity , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Sam T. Roweis,et al. EM Algorithms for PCA and SPCA , 1997, NIPS.
[14] Michael I. Jordan,et al. A Probabilistic Interpretation of Canonical Correlation Analysis , 2005 .
[15] Hans-Peter Kriegel,et al. Supervised probabilistic principal component analysis , 2006, KDD '06.
[16] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[17] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[18] Stefanos Zafeiriou,et al. Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[19] Ivan Himawan,et al. Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[20] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[21] Michel Verleysen,et al. Mixtures of robust probabilistic principal component analyzers , 2008, ESANN.
[22] Jian-Feng Cai,et al. Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration , 2013, 2013 IEEE International Conference on Computer Vision.
[23] Alex Pentland,et al. Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Dimitri P. Bertsekas,et al. Constrained Optimization and Lagrange Multiplier Methods , 1982 .
[25] B. Mercier,et al. A dual algorithm for the solution of nonlinear variational problems via finite element approximation , 1976 .