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» Searching Without a Heuristic: Efficient Use of Abstraction
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CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 7 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
CVPR
2009
IEEE
15 years 2 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
CP
2008
Springer
13 years 9 months ago
Model Restarts for Structural Symmetry Breaking
ctural abstractions that were introduced in [17]. Compared with other symmetry-breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodate dynami...
Daniel S. Heller, Aurojit Panda, Meinolf Sellmann,...
ECML
2005
Springer
14 years 1 months ago
Mode Directed Path Finding
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
Irene M. Ong, Inês de Castro Dutra, David Pa...
BMCBI
2008
77views more  BMCBI 2008»
13 years 8 months ago
SeqAn An efficient, generic C++ library for sequence analysis
Background: The use of novel algorithmic techniques is pivotal to many important problems in life science. For example the sequencing of the human genome [1] would not have been p...
Andreas Döring, David Weese, Tobias Rausch, K...