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» Approximation Algorithms for k-hurdle Problems
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EOR
2007
117views more  EOR 2007»
15 years 3 months ago
Considering manufacturing cost and scheduling performance on a CNC turning machine
A well known industry application that allows controllable processing times is the manufacturing operations on CNC machines. For each turning operation as an example, there is a n...
Sinan Gurel, M. Selim Akturk
JACM
2007
121views more  JACM 2007»
15 years 3 months ago
(Almost) Tight bounds and existence theorems for single-commodity confluent flows
A flow of a commodity is said to be confluent if at any node all the flow of the commodity leaves along a single edge. In this paper we study single-commodity confluent flow pro...
Jiangzhuo Chen, Robert D. Kleinberg, Lászl&...
TKDE
2008
162views more  TKDE 2008»
15 years 3 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
16 years 4 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 4 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...