Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
— We consider fair allocation of sessions at the outputs of optical cross-connects employing wavelength division multiplexing (WDM). Each session consists of traffic on one or m...
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
— Although the LUT (look-up table) size of FPGAs has been optimized for general applications, complicated designs may contain a large number of cascaded LUTs between flip-flops...