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ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
16 years 9 days ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...
ICDCS
2006
IEEE
16 years 26 days ago
Fault-Tolerant Clustering in Ad Hoc and Sensor Networks
In this paper, we study distributed approximation algorithms for fault-tolerant clustering in wireless ad hoc and sensor networks. A k-fold dominating set of a graph G = (V, E) is...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
CPM
2006
Springer
95views Combinatorics» more  CPM 2006»
15 years 10 months ago
New Bounds for Motif Finding in Strong Instances
Many algorithms for motif finding that are commonly used in bioinformatics start by sampling r potential motif occurrences from n input sequences. The motif is derived from these s...
Brona Brejová, Daniel G. Brown, Ian M. Harr...
DAM
2011
15 years 1 months ago
Matchability and k-maximal matchings
We present a collection of new structural, algorithmic, and complexity results for two types of matching problems. The first problem involves the computation of k-maximal matchin...
Brian C. Dean, Sandra Mitchell Hedetniemi, Stephen...
COMPGEOM
2011
ACM
14 years 10 months ago
Metric graph reconstruction from noisy data
Many real-world data sets can be viewed of as noisy samples of special types of metric spaces called metric graphs [16]. Building on the notions of correspondence and GromovHausdo...
Mridul Aanjaneya, Frédéric Chazal, D...