In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation ...
We present Data Auditor, a tool for exploring data quality and data semantics. Given a rule or an integrity constraint and a target relation, Data Auditor computes pattern tableau...
Lukasz Golab, Howard J. Karloff, Flip Korn, Divesh...
We develop a hierarchical matrix construction algorithm using matrixvector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith...
We propose a novel technique based on spherical splines for brain surface representation and analysis. This research is strongly inspired by the fact that, for brain surfaces, it i...
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...