An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the she...
Gerhard Weikum, Nikos Ntarmos, Marc Spaniol, Peter...
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
Background: Proteomic profiling of complex biological mixtures by the ProteinChip technology of surfaceenhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectro...
Huixiao Hong, Yvonne P. Dragan, Joshua Epstein, Ca...