SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

Keywords

Linear discriminant analysis, Discriminant, Computer science, Optimal discriminant analysis, Covariance

References

• Pattern ClassificationShigeo Abe — 2012
• Linear Discriminant Analysis in Document ClassificationKari Torkkola — 2007
• Spectral Graph TheoryFan Chung — 1996
• Introduction to statistical pattern recognition (2nd ed.)Keinosuke Fukunaga — 1990
• The Elements of Statistical Learning: Data Mining, Inference, and PredictionDavid Ruppert — 2004
• Regularized locality preserving indexing via spectral regressionDeng Cai, Xiaofei He, Wei Vivian Zhang — 2007
• IDR/QR: an incremental dimension reduction algorithm via QR decompositionJieping Ye, Qi Li, Hui Xiong — 2004
• Spectral regression: a unified subspace learning framework for content-based image retrievalDeng Cai, Xiaofei He, Jiawei Han — 2007
• Using Discriminant Eigenfeatures for Image RetrievalD.L. Swets, Juyang Weng — 1996
• Least squares linear discriminant analysisJieping Ye — 2007
• Matrix Algorithms: Volume 1, Basic DecompositionsJames R. Schott, G. W. Stewart — 1998
• The Elements of Statistical Learning, Data Mining, Inference, and Prediction. Trevor Hastie, Robert Tibshirani and Jerome Friedman, Springer, New York, 2001. No. of pages: xvi+533. ISBN 0‐387‐95284‐5Hans C. van Houwelingen — 2004
• Regularized discriminant analysis for high dimensional, low sample size dataJieping Ye, Tie Wang — 2006
• Regularized Discriminant AnalysisJerome H. Friedman — 1989
• Penalized Discriminant AnalysisTrevor Hastie, Andreas Buja, Robert Tibshirani — 1995
• LSQR: An Algorithm for Sparse Linear Equations and Sparse Least SquaresChristopher C. Paige, Michael A. Saunders — 1982
• Algorithm 583: LSQR: Sparse Linear Equations and Least Squares ProblemsChristopher C. Paige, Michael A. Saunders — 1982
• Multidimensional access methodsVolker Gaede, Oliver Günther — 1998
• Efficient Kernel Discriminant Analysis via Spectral RegressionDeng Cai, Xiaofei He, Jiawei Han — 2007
• Face recognition using LaplacianfacesXiaofei He, Shuicheng Yan, Yuxiao Hu — 2005

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• Orthogonal discriminant improved local tangent space alignment based feature fusion for face recognitionQiang Zhang, Yunze Cai, Xiao‐Ming Xu — 2013
• Kernel-Based Data Mining Approach with Variable Selection for Nonlinear High-Dimensional DataSeung Hyun Baek — 2010
• Normalized discriminant analysis for dimensionality reductionZhizheng Liang, Shixiong Xia, Yong Zhou — 2013
• Index Finger Motion Recognition Using Self-Advise Support Vector MachineKhairul Anam, Adel Al-Jumaily, Yashar Maali — 2017
• A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental ExtensionGui‐Fu Lu, Jian Zou, Yong Wang — 2015
• Feature aggregating hashing for image copy detectionLingyu Yan, Fuhao Zou, Rui Guo — 2016
• On the Equivalence of Linear Discriminant Analysis and Least SquaresKibok Lee, Junmo Kim — 2015
• A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization modelMingmin Zhu, Sanyang Liu, Jiewei Jiang — 2015
• Big Data Analytics in Bioinformatics: A Machine Learning PerspectiveHirak J. Kashyap, Hasin A. Ahmed, Nazrul Hoque — 2015
• Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reductionSheng Huang, Dan Yang, Yongxin Ge — 2016
• An improved Fisher discriminant vector employing updated between-scatter matrixChao Yao, Zhaoyang Lu, Jing Li — 2016
• Spectral Regression: A Regression Framework for Efficient Regularized Subspace LearningJiawei Han, Deng Cai — 2009
• Compound Rank- k Projections for Bilinear AnalysisXiaojun Chang, Feiping Nie, Sen Wang — 2014
• Application of higher-order spectra for automated grading of diabetic maculopathyMuthu Rama Krishnan Mookiah, U. Rajendra Acharya, Vinod Chandran — 2015
• Optimal metric selection for improved multi-pose face recognition with group informationXin Zhang, Pham, Duc-Son, Wanquan Liu — 2012
• A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMGKhairul Anam, Adel Al-Jumaily — 2015
• A unified framework for improving the accuracy of all holistic face identification algorithmsLiang Chen, Naoyuki Tokuda — 2010
• Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theoryJie Gui, Zhenan Sun, Tieniu Tan — 2012
• Spectral regression discriminant analysis for brain MRI classificationBahareh Mohammad-Jafarzadeh, Hashem Kalbkhani, Mahrokh G. Shayesteh — 2015

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