In this paper, a novel binary classifier coined projection twin support vector machine
(PTSVM) is proposed. The idea is to seek two projection directions, one for each class, such …

In this paper, we propose a novel fuzzy least squares projection twin support vector
machines for class imbalance learning (FLSPTSVM-CIL). Unlike twin support vector …

In this paper we formulate a least squares version of the recently proposed projection twin
support vector machine (PTSVM) for binary classification. This formulation leads to …

Fuzzy SVM is often used to solve the problem that patterns belonging to one class often play
more significant roles in classification. In order to improve the efficiency and performance of …

For the recently proposed projection twin support vector machine (PTSVM)[1], we propose a
simpler and reasonable variant from theoretical point of view, called projection twin support …

A Twin Support Vector Machine (TWSVM), as a variant of a Multisurface Proximal Support
Vector Machine via Generalized Eigenvalues (GEPSVM), attempts to improve the …

During the last few years, multiple surface classification (MSC) algorithms, such as
projection twin support vector machine (PTSVM), and least squares PTSVM (LSPTSVM) …

Multiple recursive projection twin support vector machine (MPTSVM) is a recently proposed
classifier and has been proved to be outstanding in pattern recognition. However, MPTSVM …

In this paper, we propose a L1-norm twin-projection support vector machine (TPSVM-L1) for
robust representation and recognition of images. The robustness of our TPSVM-L1 method …

In this paper, we improve the projection twin support vector machine (PTSVM) to a novel
nonparallel classifier, termed as ν-PTSVM. Specifically, our ν-PTSVM aims to seek an …