In this paper, we present reconfigurable hardware architecture for detecting semantics of streaming data on 1+ Gbps networks. The design leverages on the characteristics of contex...
—This paper presents the first practical method for “origamizing” or obtaining the folding pattern that folds a single sheet of material into a given polyhedral surface with...
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Edition is an important and useful task in supervised classification specifically for instance-based classifiers because edition discards from the training set those useless or har...
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...