In this paper, we propose granularity as a new index to characterize the nonspecificity of a summative kernel. This index is intended to reflect the behavior of a kernel in the us...
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Due to increasing clock speeds and shrinking technologies, distributing a single global clock signal throughout a chip is becoming a difficult and challenging proposition. In this...
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...