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BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
14 years 11 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor
BMCBI
2004
211views more  BMCBI 2004»
14 years 9 months ago
GenomeViz: visualizing microbial genomes
Background: An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced ...
Rohit Ghai, Torsten Hain, Trinad Chakraborty
BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
A visual analytics approach for understanding biclustering results from microarray data
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
Rodrigo Santamaría, Roberto Therón, ...
ICCV
2007
IEEE
15 years 12 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro