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» Maximal Vector Computation in Large Data Sets
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IVC
2008
117views more  IVC 2008»
15 years 6 months ago
Direct type-specific conic fitting and eigenvalue bias correction
A new method to fit specific types of conics to scattered data points is introduced. Direct, specific fitting of ellipses and hyperbolae is achieved by imposing a quadratic constr...
Matthew Harker, Paul O'Leary, Paul J. Zsombor-Murr...
CVPR
2000
IEEE
16 years 8 months ago
Nearest Neighbor Search Using Additive Binary Tree
Classifying an unknown input is a fundamental problem in Pattern Recognition. One standard method is finding its nearest neighbors in a reference set. It would be very time consum...
Sung-Hyuk Cha, Sargur N. Srihari
BMCBI
2007
237views more  BMCBI 2007»
15 years 6 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 4 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
SIAMSC
2010
141views more  SIAMSC 2010»
15 years 5 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes