An overview of incremental feature extraction methods based on linear subspaces

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[41]  Rüdiger Dillmann,et al.  Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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[46]  David Zhang,et al.  A highly scalable incremental facial feature extraction method , 2008, Neurocomputing.

[47]  Shaoning Pang,et al.  Incremental Learning of Chunk Data for Online Pattern Classification Systems , 2008, IEEE Transactions on Neural Networks.

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[50]  Zhang Yi,et al.  A New Incremental PCA Algorithm With Application to Visual Learning and Recognition , 2009, Neural Processing Letters.

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[58]  Yen-Wei Chen,et al.  Batch-incremental principal component analysis with exact mean update , 2011, 2011 18th IEEE International Conference on Image Processing.

[59]  Minghai Yao,et al.  Adaptive subspace incremental PCA based online learning for object classification and recognition , 2011, 2011 4th International Congress on Image and Signal Processing.

[60]  Francesc J. Ferri,et al.  Null Space Based Image Recognition Using Incremental Eigendecomposition , 2011, IbPRIA.

[61]  Yong Wang,et al.  Incremental learning of complete linear discriminant analysis for face recognition , 2012, Knowl. Based Syst..

[62]  Richa Singh,et al.  Incremental subclass discriminant analysis: A case study in face recognition , 2012, 2012 19th IEEE International Conference on Image Processing.

[63]  Michael R. Lyu,et al.  Online learning for collaborative filtering , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

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[66]  Soon Keat Tan,et al.  Localized, Adaptive Recursive Partial Least Squares Regression for Dynamic System Modeling , 2012 .

[67]  Qingsheng Zhu,et al.  Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization , 2012, Knowl. Based Syst..

[68]  Yong Wang,et al.  Incremental learning of discriminant common vectors for feature extraction , 2012, Appl. Math. Comput..

[69]  Yong Wang,et al.  Incremental complete LDA for face recognition , 2012, Pattern Recognit..

[70]  Gang Chen,et al.  Chunk incremental IDR/QR LDA learning , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

[71]  Francesc J. Ferri,et al.  Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates , 2013, ICONIP.

[72]  Yu-Chiang Frank Wang,et al.  A rank-one update method for least squares linear discriminant analysis with concept drift , 2013, Pattern Recognit..

[73]  Hailong Sun,et al.  An Incremental Tensor Factorization Approach for Web Service Recommendation , 2014, 2014 IEEE International Conference on Data Mining Workshop.

[74]  Michael Weyrich,et al.  An adaptive image processing system based on incremental learning for industrial applications , 2014, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).

[75]  Thierry Bouwmans,et al.  Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction , 2014, ICIAR.

[76]  Zhongliang Jing,et al.  EVD Dualdating Based Online Subspace Learning , 2014 .

[77]  João Gama,et al.  Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback , 2014, UMAP.

[78]  Michael K. Ng,et al.  Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[79]  Jiwen Lu,et al.  PCANet: A Simple Deep Learning Baseline for Image Classification? , 2014, IEEE Transactions on Image Processing.

[80]  Hanqing Lu,et al.  Incremental Matrix Factorization via Feature Space Re-learning for Recommender System , 2015, RecSys.

[81]  Nilanjan Dey,et al.  Principal component analysis in medical image processing: a study , 2015 .

[82]  Francesc J. Ferri,et al.  Incremental Generalized Discriminative Common Vectors for Image Classification , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[83]  Yong Wang,et al.  Incremental learning from chunk data for IDR/QR , 2015, Image Vis. Comput..

[84]  Emilio Marengo,et al.  Chemometric Multivariate Tools for Candidate Biomarker Identification: LDA, PLS-DA, SIMCA, Ranking-PCA. , 2016, Methods in molecular biology.

[85]  Kan Ren,et al.  Object tracking based on two-dimensional PCA , 2016 .

[86]  Richa Singh,et al.  On incremental semi-supervised discriminant analysis , 2016, Pattern Recognit..

[87]  Hashibah Hamid,et al.  Performance analysis: an integration of principal component analysis and linear discriminant analysis for a very large number of measured variables , 2016 .

[88]  Yang Gao,et al.  Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering , 2016, IDEAL.

[89]  Ming Li,et al.  Text-independent voice conversion using deep neural network based phonetic level features , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

[90]  Michael K. Ng,et al.  Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data , 2016, SIAM J. Sci. Comput..

[91]  Lingfei Mo,et al.  Human daily activity recognition with wearable sensors based on incremental learning , 2016, 2016 10th International Conference on Sensing Technology (ICST).

[92]  Lan Sun,et al.  Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine , 2016, Applied spectroscopy.

[93]  Dong Wang,et al.  Online Object Tracking Based on Convex Hull Representation , 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).

[94]  Jesus Martinez del Rincon,et al.  Incremental model learning for spectroscopy-based food analysis , 2017 .

[95]  Yijun Wang,et al.  Incremental Matrix Factorization: A Linear Feature Transformation Perspective , 2017, IJCAI.

[96]  Shen Furao,et al.  An online incremental orthogonal component analysis method for dimensionality reduction , 2017, Neural Networks.

[97]  Rm.Vidhya Vathi.  Principal component analysis (PCA) in medical image processing using digital imaging and communications in medicine (dicom) medical images , 2017 .

[98]  Jesús Martínez del Rincón,et al.  Decremental generalized discriminative common vectors applied to images classification , 2017, Knowl. Based Syst..

[99]  Evangelos E. Papalexakis,et al.  SamBaTen: Sampling-based Batch Incremental Tensor Decomposition , 2017, SDM.