14.1.4.6 Multi-View Learning, Transfer from Other View

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Multi-View Learning.

Zhang, Q.J.[Qing-Jiu], Sun, S.L.[Shi-Liang],
Multiple-view multiple-learner active learning,
PR(43), No. 9, September 2010, pp. 3113-3119.
Elsevier DOI 1006
Multiple-view learning; Multiple-learner learning; Active learning; Artificial neural network BibRef

Chen, N.[Ning], Zhu, J.[Jun], Sun, F.C.[Fu-Chun], Xing, E.P.[Eric Poe],
Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis,
PAMI(34), No. 12, December 2012, pp. 2365-2378.
IEEE DOI 1210
BibRef

Wang, Z.[Zhe], Chen, S.C.[Song-Can], Gao, D.[Daqi],
A novel multi-view learning developed from single-view patterns,
PR(44), No. 10-11, October-November 2011, pp. 2395-2413.
Elsevier DOI 1101
Multi-view learning; Classifier design; Rademacher complexity; Ensemble learning; Ho-Kashyap classifier; Regularization learning; Pattern recognition See also Algorithm for Linear Inequalities and its Applications, An. BibRef

Wang, Z.[Zhe], Zhu, C.M.[Chang-Ming], Gao, D.[Daqi], Chen, S.C.[Song-Can],
Three-fold structured classifier design based on matrix pattern,
PR(46), No. 6, June 2013, pp. 1532-1555.
Elsevier DOI 1302
Vector pattern; Matrix pattern; Global structure; Local structure; Classifier design; Pattern recognition BibRef

Chen, X.H.[Xiao-Hong], Chen, S.C.[Song-Can], Xue, H.[Hui], Zhou, X.D.[Xu-Dong],
A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data,
PR(45), No. 5, May 2012, pp. 2005-2018.
Elsevier DOI 1201
Multi-view data; Correlation analysis; Semi-supervised learning; Semi-paired learning; Dimensionality reduction BibRef

Xu, C.[Chang], Tao, D.C.[Da-Cheng], Xu, C.[Chao],
Multi-View Learning With Incomplete Views,
IP(24), No. 12, December 2015, pp. 5812-5825.
IEEE DOI 1512
learning (artificial intelligence) BibRef

Zhu, X., Li, X., Zhang, S.,
Block-Row Sparse Multiview Multilabel Learning for Image Classification,
Cyber(46), No. 2, February 2016, pp. 450-461.
IEEE DOI 1601
Multiview, multilabel BibRef

Zhang, Z.Y.[Zhen-Yue], Zhai, Z.[Zheng], Li, L.M.[Li-Min],
Uniform Projection for Multi-View Learning,
PAMI(39), No. 8, August 2017, pp. 1675-1689.
IEEE DOI 1707
Convergence, Distortion measurement, Eigenvalues and eigenfunctions, Kernel, Nonlinear distortion, Optimization, Multi-view learning, clustering, low-dimensional projection, unsupervised learning BibRef

Tao, H., Hou, C., Nie, F., Zhu, J., Yi, D.,
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression,
IP(26), No. 9, September 2017, pp. 4283-4296.
IEEE DOI 1708
image classification, learning (artificial intelligence), matrix algebra, minimisation, regression analysis, vectors, MVAR, adaptive optimized weight coefficient, adaptive regression, image processing, l2,1 matrix norm, machine learning application, nonsmooth l2,1-norm minimization problem, regression-based loss function, scalable multiview semisupervised classification problem, vector, Algorithm design and analysis, Computational modeling, Kernel, Minimization, Prediction algorithms, Semisupervised learning, Training, l2,1-norm minimization, Multi-view, classification, semi-supervised, learning BibRef


Ye, T.Q.[Teng-Qi], Wang, T.C.[Tian-Chun], McGuinness, K.[Kevin], Guo, Y.[Yu], Gurrin, C.[Cathal],
Learning Multiple Views with Orthogonal Denoising Autoencoders,
MMMod16(I: 313-324).
Springer DOI 1601
BibRef

Feng, Y.[Yinfu], Xiao, J.[Jun], Zhuang, Y.T.[Yue-Ting], Liu, X.M.[Xiao-Ming],
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition,
ACCV12(I:343-357).
Springer DOI 1304
BibRef

Danielsson, O.[Oscar], Carlsson, S.[Stefan],
Projectable classifiers for multi-view object class recognition,
3DRR11(577-584).
IEEE DOI 1201
BibRef

Danielsson, O.[Oscar], Rasolzadeh, B.[Babak], Carlsson, S.[Stefan],
Gated classifiers: Boosting under high intra-class variation,
CVPR11(2673-2680).
IEEE DOI 1106
BibRef

Mirzaei, H.[Hamidreza],
A Novel Multi-view Agglomerative Clustering Algorithm Based on Ensemble of Partitions on Different Views,
ICPR10(1007-1010).
IEEE DOI 1008
BibRef

Fan, Z.G.[Zhi-Gang], Lu, B.L.[Bao-Liang],
Fast Recognition of Multi-View Faces with Feature Selection,
ICCV05(I: 76-81).
IEEE DOI 0510
SVM based face recognition. BibRef

Davis, R.I.A., Lovell, B.C., Caelli, T.M.,
Improved estimation of hidden Markov model parameters from multiple observation sequences,
ICPR02(II: 168-171).
IEEE DOI 0211
BibRef

Thirion, E., Quan, L.,
Geometrical Learning from Multiple Stereo Views Through Monocular Based Feature Grouping,
ICCV90(481-484).
IEEE DOI BibRef 9000

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multi-Label Classification, Multilabel Classification .


Last update:Sep 22, 2017 at 21:00:01