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ACCV
2006
Springer
14 years 1 months ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
WSC
2008
13 years 10 months ago
Data enhancement, smoothing, reconstruction and optimization by kriging interpolation
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
Hasan Gunes, Hakki Ergun Cekli, Ulrich Rist
ECCV
2006
Springer
13 years 11 months ago
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
Anant Madabhushi, Jianbo Shi, Michael D. Feldman, ...
BMCBI
2006
148views more  BMCBI 2006»
13 years 7 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
BMCBI
2007
145views more  BMCBI 2007»
13 years 7 months ago
The utility of MAS5 expression summary and detection call algorithms
Background: Used alone, the MAS5.0 algorithm for generating expression summaries has been criticized for high False Positive rates resulting from exaggerated variance at low inten...
Stuart D. Pepper, Emma K. Saunders, Laura E. Edwar...