Composite nonlinear multiset canonical correlation analysis for multiview feature learning and recognition

[1]  J. Shawe-Taylor,et al.  Multi-View Canonical Correlation Analysis , 2010 .

[2]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[3]  Paul Horst,et al.  Relations amongm sets of measures , 1961 .

[4]  H. Hotelling Relations Between Two Sets of Variates , 1936 .

[5]  Chaofeng Li,et al.  Learning multi-kernel multi-view canonical correlations for image recognition , 2016, Computational Visual Media.

[6]  Lin Wu,et al.  Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Weifeng Liu,et al.  Multiview dimension reduction via Hessian multiset canonical correlations , 2018, Inf. Fusion.

[8]  Rong Jin,et al.  Multiple Kernel Learning for Visual Object Recognition: A Review , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Haibo Wang,et al.  Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer , 2015, IEEE Transactions on Medical Imaging.

[10]  Allan Aasbjerg Nielsen,et al.  Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data , 2002, IEEE Trans. Image Process..

[11]  Hassen Drira,et al.  Multiset Canonical Correlation Analysis: Texture Feature Level Fusion of Multiple Descriptors for Intra-modal Palmprint Biometric Recognition , 2017, PSIVT.

[12]  Quan-Sen Sun,et al.  A unified multiset canonical correlation analysis framework based on graph embedding for multiple feature extraction , 2015, Neurocomputing.

[13]  Xingyu Wang,et al.  Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis , 2013, Int. J. Neural Syst..

[14]  Huimin Lu,et al.  Brain Intelligence: Go beyond Artificial Intelligence , 2017, Mobile Networks and Applications.

[15]  Y. Takane,et al.  Regularized Multiple-Set Canonical Correlation Analysis , 2008 .

[16]  Quansen Sun,et al.  Graph regularized multiset canonical correlations with applications to joint feature extraction , 2014, Pattern Recognit..

[17]  Quan-Sen Sun,et al.  Laplacian multiset canonical correlations for multiview feature extraction and image recognition , 2015, Multimedia Tools and Applications.

[18]  Moody T. Chu,et al.  On a Multivariate Eigenvalue Problem, Part I: Algebraic Theory and a Power Method , 1993, SIAM J. Sci. Comput..

[19]  Quan-Sen Sun,et al.  Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Huimin Lu,et al.  Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning , 2018, IEEE Internet of Things Journal.

[21]  B. De Moor,et al.  Learning with Heterogenous Data Sets by Weighted Multiple Kernel Canonical Correlation Analysis , 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

[22]  Nello Cristianini,et al.  Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..

[23]  Quan-Sen Sun,et al.  Multiview Correlation Feature Learning with Multiple Kernels , 2015, IScIDE.

[24]  Ling Guan,et al.  Semi-Supervised and Semi-Paired Graph Regularized Multiset Canonical Correlation Analysis , 2016, 2016 IEEE International Symposium on Multimedia (ISM).

[25]  Yun-Hao Yuan,et al.  Fractional generalized multiview discriminative projections and extension for multiview learning , 2019, Cognitive Systems Research.

[26]  Shiguang Shan,et al.  Multi-view Discriminant Analysis , 2012, ECCV.

[27]  Feiping Nie,et al.  Multiple view semi-supervised dimensionality reduction , 2010, Pattern Recognit..

[28]  Horst Bischof,et al.  Appearance models based on kernel canonical correlation analysis , 2003, Pattern Recognit..

[29]  Ethem Alpaydin,et al.  Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..

[30]  Feiping Nie,et al.  A Closed Form Solution to Multi-View Low-Rank Regression , 2015, AAAI.

[31]  Gang Wang,et al.  Graph Multiview Canonical Correlation Analysis , 2018, IEEE Transactions on Signal Processing.

[32]  Johan A. K. Suykens,et al.  Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[33]  Zexuan Ji,et al.  C2DMCP: View-consistent collaborative discriminative multiset correlation projection for data representation , 2016, J. Vis. Commun. Image Represent..

[34]  Avinash C. Kak,et al.  PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  Ling Guan,et al.  Information Fusion for Human Action Recognition via Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis , 2018, IEEE Transactions on Image Processing.

[36]  Lei Gao,et al.  Discriminative Multiple Canonical Correlation Analysis for Information Fusion , 2018, IEEE Transactions on Image Processing.

[37]  Qiang Zhou,et al.  A novel multiset integrated canonical correlation analysis framework and its application in feature fusion , 2011, Pattern Recognit..

[38]  J. Kettenring,et al.  Canonical Analysis of Several Sets of Variables , 2022 .

[39]  Huimin Lu,et al.  Low illumination underwater light field images reconstruction using deep convolutional neural networks , 2018, Future Gener. Comput. Syst..

[40]  On a Multivariate Eigenvalue Problem � I Algebraic Theory and a Power Method , 2004 .

[41]  Huimin Lu,et al.  Underwater image dehazing using joint trilateral filter , 2014, Comput. Electr. Eng..