TY - JOUR
T1 - Relative (p, ε)-Approximations in Geometry
AU - Har-Peled, Sariel
AU - Sharir, Micha
N1 - Funding Information:
Work on this paper by Sariel Har-Peled was partially supported by an NSF CAREER award CCR-01-32901. Work by Micha Sharir was supported by Grant 2006/194 from the US–Israel Binational Science Foundation, by NSF Grants CCF-05-14079 and CCF-08-30272, by Grants 155/05 and 338/09 from the Israel Science Fund, and by the Hermann Minkowski–MINERVA Center for Geometry at Tel Aviv University. The paper is available online at [].
PY - 2011/4
Y1 - 2011/4
N2 - We re-examine the notion of relative (p,ε)-approximations, recently introduced in Cohen et al. (Manuscript, 2006), and establish upper bounds on their size, in general range spaces of finite VC-dimension, using the sampling theory developed in Li et al. (J. Comput. Syst. Sci. 62:516-527, 2001) and in several earlier studies (Pollard in Manuscript, 1986; Haussler in Inf. Comput. 100:78-150, 1992; Talagrand in Ann. Probab. 22:28-76, 1994). We also survey the different notions of sampling, used in computational geometry, learning, and other areas, and show how they relate to each other. We then give constructions of smaller-size relative (p,ε)-approximations for range spaces that involve points and halfspaces in two and higher dimensions. The planar construction is based on a new structure-spanning trees with small relative crossing number, which we believe to be of independent interest. Relative (p, ε)-approximations arise in several geometric problems, such as approximate range counting, and we apply our new structures to obtain efficient solutions for approximate range counting in three dimensions. We also present a simple solution for the planar case.
AB - We re-examine the notion of relative (p,ε)-approximations, recently introduced in Cohen et al. (Manuscript, 2006), and establish upper bounds on their size, in general range spaces of finite VC-dimension, using the sampling theory developed in Li et al. (J. Comput. Syst. Sci. 62:516-527, 2001) and in several earlier studies (Pollard in Manuscript, 1986; Haussler in Inf. Comput. 100:78-150, 1992; Talagrand in Ann. Probab. 22:28-76, 1994). We also survey the different notions of sampling, used in computational geometry, learning, and other areas, and show how they relate to each other. We then give constructions of smaller-size relative (p,ε)-approximations for range spaces that involve points and halfspaces in two and higher dimensions. The planar construction is based on a new structure-spanning trees with small relative crossing number, which we believe to be of independent interest. Relative (p, ε)-approximations arise in several geometric problems, such as approximate range counting, and we apply our new structures to obtain efficient solutions for approximate range counting in three dimensions. We also present a simple solution for the planar case.
KW - Epsilon approximations
KW - Epsilon nets
KW - Geometric discrepancy
KW - Random sampling
KW - Range searching
KW - Relative approximations
KW - Spanning trees with low crossing number
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U2 - 10.1007/s00454-010-9248-1
DO - 10.1007/s00454-010-9248-1
M3 - Article
AN - SCOPUS:79851510960
SN - 0179-5376
VL - 45
SP - 462
EP - 496
JO - Discrete and Computational Geometry
JF - Discrete and Computational Geometry
IS - 3
ER -