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134
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CCCG
2007
15 years 5 months ago
Approximating k-hop Minimum Spanning Trees in Euclidean Metrics
In the minimum-cost k-hop spanning tree (k-hop MST) problem, we are given a set S of n points in a metric space, a positive small integer k and a root point r ∈ S. We are intere...
Sören Laue, Domagoj Matijevic
AIPS
2004
15 years 5 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
DAGSTUHL
1997
15 years 5 months ago
Interpolation and Approximation of Surfaces from Three-dimensional Scattered Data Points
There is a wide range of applications for which surface interpolation or approximation from scattered data points in space is important. Dependent on the field of application and...
Robert Mencl, Heinrich Müller
130
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ICFHR
2010
136views Biometrics» more  ICFHR 2010»
14 years 10 months ago
Digital Ink Compression via Functional Approximation
Representing digital ink traces as points in a function space has proven useful for online recognition. Ink trace coordinates or their integral invariants are written as parametri...
Vadim Mazalov, Stephen M. Watt
STOC
2005
ACM
143views Algorithms» more  STOC 2005»
16 years 4 months ago
Optimal approximations of the frequency moments of data streams
We give a 1-pass ~O(m1-2/k )-space algorithm for computing the k-th frequency moment of a data stream for any real k > 2. Together with the lower bounds of [1, 2, 4], this reso...
Piotr Indyk, David P. Woodruff