In the recent years, many research methodologies are proposed to recognize the spoken
language and translate them to text. In this paper, we propose a novel iterative clustering …

Although the structural regularized support vector machine (SRSVM) can enhance the
generalization capability of the standard support vector machine (SVM), its current version is …

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 …

Deep neural networks (DNN), such as convolutional neural networks (CNN) have been
widely used for object recognition. However, they are usually unable to ensure the required …

Deep learning techniques is the one of the emerging fields in machine learning and it has a
various application such as object classification in remote sensing images, medical image …

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 …

Modern industrial systems are increasingly automated and highly integrated with the rapid
development of computer science, mechanical engineering, electronics and information …

TÓM TẮT Bài báo trình bày việc ứng dụng công nghệ xử lý ảnh trong phân tích và kiểm tra
linh kiện điện tử trên mạch in PCB trong miền thời gian thực. Trong bài báo này, mô hình …