LIBSVM: A library for support vector machines
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287 citations
286 citations
Cites methods from "LIBSVM: A library for support vecto..."
...In this work, we use the Keras [8] deep learning framework and LIBSVM [5] to generate, respectively, the LSTM and the SVM statistical models....
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286 citations
Cites methods from "LIBSVM: A library for support vecto..."
...For both experiments, we use a non-linear Support Vector Machine (SVM) with a radial basis function kernel [6] as the classifier....
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286 citations
Cites methods from "LIBSVM: A library for support vecto..."
...For the SVM method, LibSVM [35] is selected to evaluate the final multi-class changes, where the kernel is the radial basis function, the cost parameter is 100 and gamma is 0.01....
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...The SVM and decision tree-based change detection methods performed well in the multi-class change detection experiments in terms of the OA, kappa and F-score values....
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...In particular, concerning the F-score, for soil (C) and farmland (C), REFEREE achieved a 40% higher F-score than did the SVM and decision tree methods....
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...For the SVM method, LibSVM [35] is selected to evaluate the final multi-class changes, where the kernel is the radial basis function, the cost parameter is 100 and gamma is 0....
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...In this paper, the results obtained using the REFEREE method are compared to those from several other methods: (1) unsupervised Change Vector Analysis (CVA) [8], which is an effective method for multi-spectral change detection tasks; (2) PCA [34], which is simple in computation and can be applied to real-time applications; (3) Iteratively-Reweighted Multivariate Alteration Detection (IRMAD) [15], which is a classical transformation change detection method for multi-spectral data; (4) Supervised Slow Feature Analysis (SSFA) [19], which is one of the latest feature learning methods for change detection; (5) Support Vector Machine (SVM) [35], which is effective for remote-sensing image classification; (6) decision tree [36], which is a tree structure consisting of internal and terminal nodes that process data to ultimately yield a classification; and (7) Convolutional Neural Network (CNN) [37], which is a hierarchical architecture trained on large-scale datasets and that has shown promising performance in classification and detection....
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286 citations
Cites methods from "LIBSVM: A library for support vecto..."
...Only publicly available datasets (see [66, 67]), predefining a fixed train-test-split, were used to enable reproducibility and comparability of our results....
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References
37,861 citations
"LIBSVM: A library for support vecto..." refers background in this paper
...{1,-1}, C-SVC [Boser et al. 1992; Cortes and Vapnik 1995] solves 4LIBSVM Tools: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools. the following primal optimization problem: l t min 1 w T w +C .i (1) w,b,. 2 i=1 subject to yi(w T f(xi) +b) =1 -.i, .i =0,i =1,...,l, where f(xi)maps xi into a…...
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26,531 citations
"LIBSVM: A library for support vecto..." refers background in this paper
...Under given parameters C > 0and E> 0, the standard form of support vector regression [Vapnik 1998] is ll tt 1 T min w w + C .i + C .i * w,b,.,. * 2 i=1 i=1 subject to w T f(xi) + b- zi = E + .i, zi - w T f(xi) - b = E + .i * , * .i,.i = 0,i = 1,...,l....
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...It can be clearly seen that C-SVC and one-class SVM are already in the form of problem (11)....
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..., l, in two classes, and a vector y ∈ Rl such that yi ∈ {1,−1}, C-SVC (Cortes and Vapnik, 1995; Vapnik, 1998) solves the following primal problem:...
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...Then, according to the SVM formulation, svm train one calls a corresponding subroutine such as solve c svc for C-SVC and solve nu svc for ....
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...Note that b of C-SVC and E-SVR plays the same role as -. in one-class SVM, so we de.ne ....
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11,211 citations
"LIBSVM: A library for support vecto..." refers background in this paper
...It can be clearly seen that C-SVC and one-class SVM are already in the form of problem (11)....
[...]
...Then, according to the SVM formulation, svm train one calls a corresponding subroutine such as solve c svc for C-SVC and solve nu svc for ....
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...Note that b of C-SVC and E-SVR plays the same role as -. in one-class SVM, so we de.ne ....
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...In Section 2, we describe SVM formulations supported in LIBSVM: C-Support Vector Classi.cation (C-SVC), ....
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...{1,-1}, C-SVC [Boser et al. 1992; Cortes and Vapnik 1995] solves 4LIBSVM Tools: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools. the following primal optimization problem: l t min 1 w T w +C .i (1) w,b,. 2 i=1 subject to yi(w T f(xi) +b) =1 -.i, .i =0,i =1,...,l, where f(xi)maps xi into a higher-dimensional space and C > 0 is the regularization parameter....
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7,069 citations
"LIBSVM: A library for support vecto..." refers methods in this paper
...A Simple Example of Running LIBSVM While detailed instructions of using LIBSVM are available in the README file of the package and the practical guide by Hsu et al. [2003], here we give a simple example....
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...For instructions of using LIBSVM, see the README file included in the package, the LIBSVM FAQ,3 and the practical guide by Hsu et al. [2003]. LIBSVM supports the following learning tasks....
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6,562 citations