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ź-nets and simplex range queries

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

Capacitated Discrete Unit Disk Cover

TL;DR: The geometric version of the capacitated covering problem, where the set of customers and set of service centers are two point sets in the Euclidean plane, is considered, and it is proved that the \((\alpha, P, Q)-covering problem is NP-complete for \(\alpha \ge 3\) and it admits a PTAS.
Posted Content

On the Decision Tree Complexity of $k$-SUM.

TL;DR: It is proved that there exists $o(n)$-linear decision trees of depth $O(n^c)$ for some constant $c$.
Book ChapterDOI

Sketched History: VC Combinatorics, 1826 up to 1975

TL;DR: The earliest published instance of combinatorial quantities later occurring in the work of Vapnik and Chervonenkis was in a paper of Jakob Steiner in 1826 as mentioned in this paper.
Journal ArticleDOI

On the VC-Dimension of Binary Codes

TL;DR: This work investigates the asymptotic rates of length-n binary codes with VC-dimension at most dn and minimum distance at least δn with Gilbert-Varshamov type arguments over constant-weight and Markov-type sets.
Journal ArticleDOI

Approximating a Convex Body by a Polytope Using the Epsilon-Net Theorem

TL;DR: It is proved that roughly d (1-\vartheta ) dln1(1-ϑ)d points chosen uniformly and independently from a centered convex body K in Rd yield a polytope P for whichϑK⊆P ⊆K holds with large probability.
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.