Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
This paper addresses the problem of test response compaction. In order to maximize compaction ratio, a single-output encoder based on check matrix of a (n, n1, m, 3) convolutional...
The composition of services that are indexed in a large-scale service directory often involves many complex queries issued by the service composition algorithm to the directory. Th...
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
Recent successful techniques for the efficient simulation of largescale interconnect models rely on the sparsification of the inverse of the inductance matrix L. While there are...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...