Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
This paper discusses how to find the global minimum of functions that are summations of small polynomials ("small" means involving a small number of variables). Some spa...
Recently, a semidefinite programming (SDP) relaxation approach has been proposed to solve the sensor network localization problem. Although it achieves high accuracy in estimating ...
Abstract: High-throughput array-based assays have recently been developed to detect DNA copy number (DCN) aberrations. The DCN data from these arrays is characterized by high level...
Early undergraduate Grid computing courses generally took a bottom-up approach to Grid computing education starting with network protocols, client-server concepts, creating Web an...