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ICALP
2004
Springer
14 years 3 months ago
The Black-Box Complexity of Nearest Neighbor Search
We define a natural notion of efficiency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answ...
Robert Krauthgamer, James R. Lee
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 9 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
IJRR
2010
113views more  IJRR 2010»
13 years 8 months ago
On the Topology of Discrete Strategies
This paper explores a topological perspective of planning in the presence of uncertainty, focusing on tasks specified by goal states in discrete spaces. The paper introduces stra...
Michael Erdmann
COMPGEOM
2010
ACM
14 years 2 months ago
Orthogonal range reporting: query lower bounds, optimal structures in 3-d, and higher-dimensional improvements
Orthogonal range reporting is the problem of storing a set of n points in d-dimensional space, such that the k points in an axis-orthogonal query box can be reported efficiently. ...
Peyman Afshani, Lars Arge, Kasper Dalgaard Larsen
RECOMB
2007
Springer
14 years 10 months ago
Design of Compact, Universal DNA Microarrays for Protein Binding Microarray Experiments
Our group has recently developed a compact, universal protein binding microarray (PBM) that can be used to determine the binding preferences of transcription factors (TFs) [1]. Thi...
Anthony A. Philippakis, Aaron M. Qureshi, Michael ...