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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 1 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
CMPB
2007
86views more  CMPB 2007»
15 years 6 months ago
Monte Carlo simulation of latanoprost induced iris darkening
We show that it is possible to construct numerical models of eye colour from first principles. Our initial model assumes that the important optical interactions occur only in the a...
K. P. B. Cracknell, Damian J. J. Farnell, I. Grier...
ECCV
2002
Springer
16 years 8 months ago
Bayesian Estimation of Layers from Multiple Images
When estimating foreground and background layers (or equivalently an alpha matte), it is often the case that pixel measurements contain mixed colours which are a combination of for...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
MICCAI
2006
Springer
16 years 7 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
ICML
2009
IEEE
16 years 7 months ago
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
Xuan Vinh Nguyen, Julien Epps, James Bailey