Manifold Support Vector Machine

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Robust scene text recognition: Using manifold regularized ...

    https://www.sciencedirect.com/science/article/pii/S1319157818309509
    Text scene recognition from natural scene should be made intelligent and completely automatized, so a model is proposed, called MAnifold Twin-Support Vector Machine (MAT-SVM) which makes ROSTER, smart recognition system for text by considering the local geometry in the text samples rather than using the entire global data structure.The Support Vector Machine (SVM) proposed by Vapnik et al. in ...Cited by: 2

Manifold proximal support vector machine for semi ...

    https://link.springer.com/article/10.1007/s10489-013-0491-z
    Dec 21, 2013 · Under SSL, large amounts of unlabeled data are used to assist the learning procedure to construct a more reasonable classifier. In this paper, we propose a novel manifold proximal support vector machine (MPSVM) for semi-supervised classification.Cited by: 21

In-Depth: Support Vector Machines Python Data Science ...

    https://jakevdp.github.io/PythonDataScienceHandbook/05.07-support-vector-machines.html
    Fitting a support vector machine¶ Let's see the result of an actual fit to this data: we will use Scikit-Learn's support vector classifier to train an SVM model on this data. For the time being, we will use a linear kernel and set the C parameter to a very large number (we'll discuss the meaning of …

SUPPORT VECTOR MACHINE FOR DATA ON MANIFOLDS: AN ...

    http://midag.cs.unc.edu/pubs/papers/isbi_SVMonManifoldData_v3-1.pdf
    SUPPORT VECTOR MACHINE FOR DATA ON MANIFOLDS: AN APPLICATION TO IMAGE ANALYSIS Suman K. Sen, Mark Foskey, James S. Marron, Martin A. Styner Medical Image Display & Analysis Group, University of North Carolina, Chapel Hill ABSTRACT The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects

The use of hybrid manifold learning and support vector ...

    https://www.sciencedirect.com/science/article/pii/S0950705110001231
    The use of hybrid manifold learning and support vector machines in the prediction of business failure. ... The utility of manifold learning has been illustrated in different ... W.H. Chen, S. WuCredit rating analysis with support vector machine and neural networks: a market comparative study. Decision Support Systems, 37 (2004), pp. 543-558.Cited by: 92

The use of hybrid manifold learning and support vector ...

    https://www.researchgate.net/publication/222158368_The_use_of_hybrid_manifold_learning_and_support_vector_machines_in_the_prediction_of_business_failure
    The use of hybrid manifold learning and support vector machines in the prediction of business failure Article in Knowledge-Based Systems 24(1):95-101 · February 2011 with 97 Reads

Manifold proximal support vector machine for semi ...

    https://www.researchgate.net/profile/Wei-Jie_Chen/publication/271738278_Manifold_proximal_support_vector_machine_for_semi-supervised_classification/links/559bad5608ae7f3eb4cec9ae.pdf
    Manifold proximal support vector machine for semi-supervised classification 625 Fig. 1 Geometric interpretation of SVM, GEPSVM and MPSVM on the toy example (Color figure online)

Support Vector Metric Learning on Symmetric Positive ...

    https://ieeexplore.ieee.org/document/8486518
    Jul 27, 2018 · The metric learning problem can be efficiently solved by standard support vector machines. Compared with classifying points on SPD manifold by support vector machines directly, SVML effectively learns a distance metric for SPD matrices by training a binary support vector machine model.Author: Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu

Support vector machine for data on manifolds: An ...

    https://ieeexplore.ieee.org/document/4541216/
    Abstract: The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, and not in the usual d-dimensional Euclidean space.Cited by: 8

Manifold Regularized Proximal Support Vector Machine via ...

    https://www.tandfonline.com/doi/pdf/10.1080/18756891.2016.1256570
    Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue (MRGEPSVM), which incorporates local geometry information within each class into GEPSVM by regularization tech-nique. Each plane is required to fit each dataset as close as possible and preserve the intrinsic geometric structure of each class via manifold ...



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