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» Monte Carlo Localization Using SIFT Features
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SADM
2010
196views more  SADM 2010»
14 years 4 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
CGF
2010
157views more  CGF 2010»
14 years 9 months ago
Binary Shading Using Appearance and Geometry
In the style of binary shading, shape and illumination are depicted using two colors, typically black and white, that form coherent lines and regions in the image. We formulate th...
Bert Buchholz, Tamy Boubekeur, Doug DeCarlo, Marc ...
ICPPW
2005
IEEE
15 years 3 months ago
Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
Alexandre Mendes, Carlos Cotta, Vinícius Ga...
TMI
2008
126views more  TMI 2008»
14 years 9 months ago
A Time Domain Fluorescence Tomography System for Small Animal Imaging
We describe the application of a time domain diffuse fluorescence tomography system for whole body small animal imaging. The key features of the system are the use of point excitat...
Anand T. N. Kumar, Scott B. Raymond, Andrew K. Dun...
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GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel