We develop a hierarchical matrix construction algorithm using matrixvector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith...
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
In this paper, a new wavelet-domain codebook design algorithm is proposed for image coding. The method utilizes mean-squared error and variance based selection schemes for good cl...
Momotaz Begum, Nurun Nahar, Kaneez Fatimah, M. K. ...
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...