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» Sublinear time approximate clustering
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STOC
2003
ACM
153views Algorithms» more  STOC 2003»
14 years 7 months ago
Sublinear geometric algorithms
We initiate an investigation of sublinear algorithms for geometric problems in two and three dimensions. We give optimal algorithms for intersection detection of convex polygons a...
Bernard Chazelle, Ding Liu, Avner Magen
CVPR
2005
IEEE
14 years 9 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
STOC
1996
ACM
132views Algorithms» more  STOC 1996»
13 years 11 months ago
Approximability and Nonapproximability Results for Minimizing Total Flow Time on a Single Machine
We consider the problem of scheduling n jobs that are released over time on a single machine in order to minimize the total ow time. This problem is well-known to be NPcomplete, a...
Hans Kellerer, Thomas Tautenhahn, Gerhard J. Woegi...
LATIN
2004
Springer
14 years 24 days ago
An Improved Data Stream Summary: The Count-Min Sketch and Its Applications
We introduce a new sublinear space data structure—the Count-Min Sketch— for summarizing data streams. Our sketch allows fundamental queries in data stream summarization such a...
Graham Cormode, S. Muthukrishnan
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
11 years 9 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...