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» Approximate Expectation Maximization
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SIGMOD
2001
ACM
160views Database» more  SIGMOD 2001»
15 years 11 months ago
Adaptive Precision Setting for Cached Approximate Values
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
Chris Olston, Boon Thau Loo, Jennifer Widom
SODA
2010
ACM
164views Algorithms» more  SODA 2010»
15 years 9 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 days ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
SODA
1993
ACM
202views Algorithms» more  SODA 1993»
15 years 29 days ago
Approximate Nearest Neighbor Queries in Fixed Dimensions
Given a set of n points in d-dimensional Euclidean space, S ⊂ Ed , and a query point q ∈ Ed , we wish to determine the nearest neighbor of q, that is, the point of S whose Euc...
Sunil Arya, David M. Mount
126
Voted
COMPGEOM
2011
ACM
14 years 3 months ago
Reeb graphs: approximation and persistence
Given a continuous function f : X → IR on a topological space X, its level set f−1 (a) changes continuously as the real value a changes. Consequently, the connected components...
Tamal K. Dey, Yusu Wang