In any learning framework, an expert knowledge always plays a crucial role. But, in the field
of machine learning, the knowledge offered by an expert is rarely used. Moreover, machine …

Most of the real-life applications usually involve complex data, eg, grayscale images, where
information is distributed spatially in the form of two-dimensional matrices (elements of …

Multiple birth support vector machine (MBSVM) is an extension of twin support vector
machine on multi-class classification problem. In MBSVM, the size of each QP problem is …

As a novel neural network learning framework, Twin Extreme Learning Machine (TELM) has
received extensive attention and research in the field of machine learning. However, TELM …

Diabetic retinopathy (DR) is one of the retinal disorders and the leading cause of blindness
worldwide. Microaneurysms (MA) is the first clinical indication of DR, and the detection of MA …

With the ever-growing traffic density, the number of road accidents is anticipated to further
increase. Finding solutions to reduce road accidents and to improve traffic safety has …

In this paper, we present a spatiotemporal wavelet correlogram (STWC) as a new feature for
human action recognition (HAR) in videos. The proposed feature benefits from a different …

This paper proposes a novel and Robust Parametric Twin Support Vector Machine
(RPTWSVM) classifier to deal with the heteroscedastic noise present in the human activity …

针对传统人体姿态识别数据采集易受环境干扰, 难以解决人体运动姿态的相似性和人体运动执行
者的特征差异性等问题, 提出一种基于少量关键序列帧的人体姿态识别方法 …

针对最小二乘孪生支持向量机对噪声和离群值非常敏感的问题, 本文提出了一种基于能量的结构
化最小二乘孪生支持向量机. 首先对每个类进行聚类分析, 然后计算类中各个簇的协方差矩阵并 …