Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...

Abstract: Classifying partially labeled high-dimensional data remains a difficult problem for semi-supervised support vector machine (SVM) since the convergence and the stability can hardly be ...

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...