This paper presents design and experimental results of a parallel linear equation solver by asynchronous partial Gauss-Seidel method. The basic idea of this method is derived from ...
We consider the energy consumed in radio transmission of a set of sensors forming a data gathering wireless network. Our objective is to enhance the lifetime of such networks by e...
Samar Agnihotri, Pavan Nuggehalli, H. S. Jamadagni
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...