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ź-nets and simplex range queries

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TLDR
The concept of an ɛ-net of a set of points for an abstract set of ranges is introduced and sufficient conditions that a random sample is an Â-net with any desired probability are given.
Abstract
We demonstrate the existence of data structures for half-space and simplex range queries on finite point sets ind-dimensional space,dÂ?2, with linear storage andO(nÂ?) query time, $$\alpha = \frac{{d(d - 1)}}{{d(d - 1) + 1}} + \gamma for all \gamma > 0$$ . These bounds are better than those previously published for alldÂ?2. Based on ideas due to Vapnik and Chervonenkis, we introduce the concept of an Â?-net of a set of points for an abstract set of ranges and give sufficient conditions that a random sample is an Â?-net with any desired probability. Using these results, we demonstrate how random samples can be used to build a partition-tree structure that achieves the above query time.

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Journal ArticleDOI

Matching Polyhedral Terrains Using Overlays of Envelopes

TL;DR: It is shown that the combinatorial complexity of $\O(\F,\G)$ is $\Omega(n^d \alpha^{2}(n))$ and $O(n^{d+\eps})$ for any $\eps>0$ when $d=2$, and an algorithm is described that runs in time £O( n^{d^2+d+ \eps}) for any of the above reasons.
Book ChapterDOI

Family complexity and VC-Dimension

TL;DR: This paper presents a survey of papers on the connection of family complexity and VC-dimension in Ahlswede, Khachatrian, Mauduit and Sarkozy 2006 and several further related papers published on this subject since that.
Proceedings ArticleDOI

Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains

TL;DR: An efficient algorithm in the MPC model for computing the contour tree of the resulting DEM by computing the Delaunay triangulation of the xy-projections of points in S, which is also stored across multiple machines.
Book ChapterDOI

Learning Convex Sets Under Uniform Distribution

TL;DR: In order to learn a convex set C, an algorithm is given a random sample of points and the information which of the points belong to C is constructed which is supposed to be a good approximation of C.

New -Net Constructions

TL;DR: In this paper, the authors give simple and intuitive constructions to obtain linear size �-nets for �-fat wedges, translations and rotations of a quadrant and axis-parallel three-sided rectangles in R 2.
References
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Book ChapterDOI

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

TL;DR: This chapter reproduces the English translation by B. Seckler of the paper by Vapnik and Chervonenkis in which they gave proofs for the innovative results they had obtained in a draft form in July 1966 and announced in 1968 in their note in Soviet Mathematics Doklady.
Book

Algorithms in Combinatorial Geometry

TL;DR: This book offers a modern approach to computational geo- metry, an area thatstudies the computational complexity of geometric problems with an important role in this study.
Journal ArticleDOI

On the density of families of sets

TL;DR: This paper will answer the question in the affirmative by determining the exact upper bound of T if T is a family of subsets of some infinite set S then either there exists to each number n a set A ⊂ S with |A| = n such that |T ∩ A| = 2n or there exists some number N such that •A| c for each A⩾ N and some constant c.
Journal ArticleDOI

Central Limit Theorems for Empirical Measures

TL;DR: In this article, the convergence of a stochastic process indexed by a Gaussian process to a certain Gaussian processes indexed by the supremum norm was studied in a Donsker class.
Journal ArticleDOI

The power of geometric duality

TL;DR: A new formulation of the notion of duality that allows the unified treatment of a number of geometric problems is used, to solve two long-standing problems of computational geometry and to obtain a quadratic algorithm for computing the minimum-area triangle with vertices chosen amongn points in the plane.