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» Maximum likelihood analysis of algorithms and data structure...
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COMPGEOM
2010
ACM
15 years 9 months ago
A dynamic data structure for approximate range searching
In this paper, we introduce a simple, randomized dynamic data structure for storing multidimensional point sets, called a quadtreap. This data structure is a randomized, balanced ...
David M. Mount, Eunhui Park
RAS
2010
127views more  RAS 2010»
15 years 2 months ago
Maximum-likelihood sample-based maps for mobile robots
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...
Daniel Meyer-Delius, Wolfram Burgard
COMPGEOM
2008
ACM
15 years 6 months ago
Self-improving algorithms for delaunay triangulations
We study the problem of two-dimensional Delaunay triangulation in the self-improving algorithms model [1]. We assume that the n points of the input each come from an independent, ...
Kenneth L. Clarkson, C. Seshadhri
EVOW
2005
Springer
15 years 9 months ago
Evolutionary Biclustering of Microarray Data
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
Jesús S. Aguilar-Ruiz, Federico Divina
SSPR
2004
Springer
15 years 9 months ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini