Math @ Duke
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Publications [#235353] of Pankaj K. Agarwal
Papers Published
- Agarwal, PK; Har-Peled, S; Suri, S; YIldIz, H; Zhang, W, Convex hulls under uncertainty,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8737 LNCS
(January, 2014),
pp. 37-48, ISSN 0302-9743, ISBN 9783662447765 [doi]
(last updated on 2023/06/02)
Abstract: We study the convex-hull problem in a probabilistic setting, motivated by the need to handle data uncertainty inherent in many applications, including sensor databases, location-based services and computer vision. In our framework, the uncertainty of each input point is described by a probability distribution over a finite number of possible locations including a null location to account for non-existence of the point. Our results include both exact and approximation algorithms for computing the probability of a query point lying inside the convex hull of the input, time-space tradeoffs for the membership queries, a connection between Tukey depth and membership queries, as well as a new notion of β-hull that may be a useful representation of uncertain hulls. © 2014 Springer-Verlag Berlin Heidelberg.
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