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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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Book ChapterDOI

An Abstract Approach to Polychromatic Coloring: Shallow Hitting Sets in ABA-free Hypergraphs and Pseudohalfplanes

TL;DR: An abstract version of a framework by Smorodinsky and Yuditsky, used for polychromatic coloring halfplanes, is introduced, and applied to so-called ABA-free hypergraphs, which are a generalization of interval graphs.
Proceedings ArticleDOI

Output-sensitive construction of the union of triangles

Esther Ezra, +1 more
TL;DR: This work presents an efficient algorithm, which combines a variety of techniques related to range-searching in two dimensions, and shows that it does indeed run in subquadratic time (for a reasonable range of ζ).
Book ChapterDOI

Pac Learning, Noise, and Geometry

TL;DR: This paper describes the probably approximately correct model of concept learning, paying special attention to the case where instances are points in Euclidean n-space.
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On Regular Vertices of the Union of Planar Convex Objects

TL;DR: It is shown that the maximum number of regular vertices on the boundary of the union U of the collection of n compact convex sets in the plane is O*(n4/3, which improves earlier bounds due to Aronov et al.
Journal ArticleDOI

Using ε-Nets for Linear Separation of Two Sets in a Euclidean Space Rd

TL;DR: In this paper, the concept of -separability was introduced and necessary and sufficient conditions of separation were proved for disjoint?-nets, and it was proved that the problem of separability of two disjunctive sets can be reduced to the trivial problem of separation of their disjoins.
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.