Main features are: - Except for the QP solver, all parts are written in plain Matlab. This guarantees for easy modification. Special kinds of kernels that require much computation (such as the Fisher kernel, which is based on a model of the data) ca
超球结构支持向量机用于多分类问题。Support vector machines (SVM) are learning algorithms derived from statistical learning theory. The SVM approach was originally developed for binary classification problems. For solving multi-class classification problem, there are
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. 2011年11月最新版本
This article presents a Support Vector Machine (SVM) like learning sys- tem to handle multi-label problems. Such problems are usually decom- posed into many two-class problems but the expressive power of such a system can be weak [5, 7]. We explore
VSVM2.0 released with multi-target regression svm introduce: Vsvm2.0 is svm algorithm with the best parameters optimization algorithm, running in window system,and is the upgrade version of winsvm1.0 published in 2006,increase GA search optimize par
Many remote sensing image classifiers are limited in their ability to combine spectral features with spatial features. Multi-kernel classifiers, however, are capable of integrating spectral features with spatial or structural features using multiple
为了利用ROC曲线下的面积(AUC),更好地评价多类SVM学习效果,提出了MOSMAUC(multi-objective optimizes multiclass SVM based on AUC)算法。该算法采用AUC作为评价标准,利用多目标优化算法作为SVM参数的优化方法,避免优化对象的AUC值过低问题,因为在多类分类学习中任何一个两类分类的AUC值太低,都会影响整体学习的效果。实验结果表明,提出的优化方法改进了算法的学习能力,取得了较好的学习效果。
A novel hand vein recognition algorithm is developed based on multi-resolution wavelet analysis. The texture feature of hand vein can be extracted by three-level wavelet decomposition. Furthermore, K-nearest neighbor (KNN) with support vector machine
The accurate classification of subjective and objective sentences is important in the preparation for micro-blog sentiment analysis. Since a single feature type cannot provide enough subjective information for classification, we propose a Support vec
Accurate evaluation of bradykinesia plays a crucial role in the diagnosis and therapy effect of Parkinson's disease. However, the subjective assessment shows low consistency among different evaluators, and the objective sensor-based methods cannot ac
