Twin support vector machines (TWSVM), a novel machine learning algorithm developing
from traditional support vector machines (SVM), is one of the typical nonparallel support …

孪生支持向量机因其简单的模型, 快速的训练速度和优秀的性能而受到广泛关注.
该算法最初是为解决二分类问题而提出的, 不能直接用于解决现实生活中普遍存在的多分类问题 …

In this article, an improved nonparallel support vector machine (INPSVM) is proposed for
pattern classification. INPSVM inherits almost all advantages of nonparallel support vector …

Human activity recognition is an active area of research in Computer Vision. One of the
challenges of activity recognition system is the presence of noise between related activity …

The principal component analysis network (PCANet), which is one of the recently proposed
deep learning architectures, achieves the state-of-the-art classification accuracy in various …

Although support vector machine (SVM) and its variants have been combined successfully
with partitioning strategies for multiclass classification, a series of individual classifiers have …

Traditional hinge loss function-based large-scale support vector machine (SVM) algorithms
tend to perform poorly in the presence of noise, especially when the model is trained …

In this paper, we propose a robust parametric twin support vector machine (RPTWSVM)
classifier based on Parametric-ν ν-Support Vector Machine (Par-ν ν-SVM) and twin support …

Jet fuel pipeline leakage will cause environmental pollution and safety-related accidents;
therefore, the leak detection of jet fuel pipeline is a crucial for pipeline management …

Clustering is a widely used machine learning technique for unlabelled data. One of the
recently proposed techniques is the twin support vector clustering (TWSVC) algorithm. The …