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» Using Evolution Programs to Learn Local Similarity Measures
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BMCBI
2006
96views more  BMCBI 2006»
13 years 7 months ago
Structure alignment based on coding of local geometric measures
Background: A structure alignment method based on a local geometric property is presented and its performance is tested in pairwise and multiple structure alignments. In this appr...
Peter L. Chang, Andrew W. Rinne, T. Gregory Dewey
BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
SIGIR
2010
ACM
13 years 11 months ago
Adaptive near-duplicate detection via similarity learning
In this paper, we present a novel near-duplicate document detection method that can easily be tuned for a particular domain. Our method represents each document as a real-valued s...
Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
ISBI
2006
IEEE
14 years 8 months ago
Molecular image registration using mutual information and differential evolution optimization
In this work we propose a novel rigid image registration approach to determine the position of high-resolution molecular structures in medium-resolution macromolecular complexes. ...
Bartosz Telenczuk, María J. Ledesma-Carbayo...
CP
2009
Springer
14 years 8 months ago
Constraint-Based Graph Matching
Measuring graph similarity is a key issue in many applications. We propose a new constraint-based modeling language for defining graph similarity measures by means of constraints. ...
Christine Solnon, Vianney le Clément, Yves ...