– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Most variational active contour models are designed to find the “desirable” local minima of data-dependent energy functionals with the hope of avoiding undesirable configurat...
We develop algorithms for computing the smallest enclosing ball of a set of n balls in d-dimensional space. Unlike previous methods, we explicitly address small cases (n ≤ d + 1...
Journaling is a widely used technique to increase file system robustness against metadata and/or data corruptions. While the overhead of journaling can be masked by the page cache...
Sarp Oral, Feiyi Wang, David Dillow, Galen M. Ship...