We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
We present a semi-automatic debugger for spreadsheet systems that is specifically targeted at end-user programmers. Users can report expected values for cells that yield incorrec...
Thispaper presents the results of an experiment that compared error detection capability of voting, instrumentation,and Fagan inspection methods. Several experimentshave measured ...
Sun Sup So, Yongseop Lim, Sung Deok Cha, Yong Rae ...
— Sensor-based control is an emerging challenge in UAV applications. It is essential in a sensing task to account for sensor measurement errors when computing a target position e...
This study presents a boundary-based corner detection method that achieves robust detection for digital objects containing wide angles and various curves using curvature. The bound...