Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
Image dissimilarity measure is a hot topic. The measure process is generally composed of an information mining in each image which results in an image signature and then a signatu...
Abstract—To achieve higher reliability, safety, and faulttolerance, many mission-critical detection and decision systems implement consensus algorithms that force the systems’ ...
In recent years, there has been an increasing interest in Quantified Boolean Formula (QBF) evaluation, since several VLSI CAD problems can be formulated efficiently as QBF insta...
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...