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» A statistical analysis of diffraction-limited imaging
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PRL
2000
182views more  PRL 2000»
13 years 8 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ISMB
2000
13 years 9 months ago
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated
Determination of the functions of all expressed proteins represents one of the major upcoming challenges in computational molecular biology. Since subcellular location plays a cru...
Robert F. Murphy, Michael V. Boland, Meel Velliste
SIBGRAPI
2009
IEEE
14 years 3 months ago
A Multi-linear Discriminant Analysis of 2D Frontal Face Images
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio...
DFT
2007
IEEE
142views VLSI» more  DFT 2007»
14 years 2 months ago
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
Growth of pixel density and sensor array size increases the likelihood of developing in-field pixel defects. An ongoing study on defect development in imagers has now provided us ...
Jenny Leung, Jozsef Dudas, Glenn H. Chapman, Israe...
ISBI
2011
IEEE
13 years 6 days ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...