Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
In the constraint database community, FO+poly and FO+linear have been proposed as foundations for spatial database query languages. One of the strengths of this approach is that t...