Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Virtual machine (VM) introspection is a powerful technique for determining the specific aspects of guest VM execution from outside the VM. Unfortunately, existing introspection so...
Sina Bahram, Xuxian Jiang, Zhi Wang, Mike Grace, J...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Enhancing productivity for designing complex embedded systems requires system level design methodology and language support for capturing complex design in high level models. For ...
Hiren D. Patel, Sandeep K. Shukla, Reinaldo A. Ber...