A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
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Feiping Nie | Chris H. Q. Ding | Heng Huang | Shuai Zheng | C. Ding | Heng Huang | F. Nie | Shuai Zheng
[1] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[2] Jason Weston,et al. A kernel method for multi-labelled classification , 2001, NIPS.
[3] Jiebo Luo,et al. Learning multi-label scene classification , 2004, Pattern Recognit..
[4] ZhouZhi-Hua,et al. Multilabel dimensionality reduction via dependence maximization , 2010 .
[5] Hongdong Li,et al. A Convex Programming Approach to the Trace Quotient Problem , 2007, ACCV.
[6] Xiangliang Zhang,et al. TideWatch: Fingerprinting the cyclicality of big data workloads , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.
[7] David M. Rocke,et al. Dimension Reduction for Classification with Gene Expression Microarray Data , 2006, Statistical applications in genetics and molecular biology.
[8] Feiping Nie,et al. A Closed Form Solution to Multi-View Low-Rank Regression , 2015, AAAI.
[9] Jieping Ye,et al. Extracting shared subspace for multi-label classification , 2008, KDD.
[10] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[11] Trevor Hastie,et al. Regularized linear discriminant analysis and its application in microarrays. , 2007, Biostatistics.
[12] Jieping Ye,et al. Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems , 2005, J. Mach. Learn. Res..
[13] Feiping Nie,et al. Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction , 2012, Pattern Recognit. Lett..
[14] Chris H. Q. Ding,et al. Accelerating Deep Learning with Shrinkage and Recall , 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).
[15] Liana L. Fong,et al. Analysis and Modeling of Social Influence in High Performance Computing Workloads , 2011, Euro-Par.
[16] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[17] YeJieping. Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems , 2005 .
[18] I K Fodor,et al. A Survey of Dimension Reduction Techniques , 2002 .
[19] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[20] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[21] Xiaoou Tang,et al. Dual-space linear discriminant analysis for face recognition , 2004, CVPR 2004.
[22] Dong Xu,et al. Trace Ratio vs. Ratio Trace for Dimensionality Reduction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Chris H. Q. Ding,et al. A Semi-definite Positive Linear Discriminant Analysis and Its Applications , 2012, 2012 IEEE 12th International Conference on Data Mining.
[24] Xiangliang Zhang,et al. Virtual machine migration in an over-committed cloud , 2012, 2012 IEEE Network Operations and Management Symposium.
[25] Ja-Chen Lin,et al. A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..
[26] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[27] J. B. Rosen,et al. Lower Dimensional Representation of Text Data Based on Centroids and Least Squares , 2003 .
[28] Feiping Nie,et al. Trace Ratio Criterion for Feature Selection , 2008, AAAI.
[29] Zhi-Hua Zhou,et al. Multilabel dimensionality reduction via dependence maximization , 2008, TKDD.
[30] Daoqiang Zhang,et al. Efficient and robust feature extraction by maximum margin criterion , 2006, IEEE Transactions on Neural Networks.
[31] Jieping Ye,et al. Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments , 2010 .
[32] Chris H. Q. Ding,et al. Kernel Alignment Inspired Linear Discriminant Analysis , 2014, ECML/PKDD.
[33] Chris H. Q. Ding,et al. Multi-label Linear Discriminant Analysis , 2010, ECCV.
[34] Volker Tresp,et al. Multi-label informed latent semantic indexing , 2005, SIGIR '05.
[35] Pavel Pudil,et al. Introduction to Statistical Pattern Recognition , 2006 .
[36] Feiping Nie,et al. Neighborhood MinMax Projections , 2007, IJCAI.
[37] Feiping Nie,et al. Semi-supervised orthogonal discriminant analysis via label propagation , 2009, Pattern Recognit..
[38] Feiping Nie,et al. Trace Ratio Problem Revisited , 2009, IEEE Transactions on Neural Networks.
[39] R. Chellappa,et al. Subspace Linear Discriminant Analysis for Face RecognitionW , 1999 .
[40] Nebojsa Jojic,et al. LOCUS: learning object classes with unsupervised segmentation , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.