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ICASSP
2011
IEEE
14 years 10 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
ICANN
2011
Springer
14 years 10 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
CVPR
2012
IEEE
13 years 9 months ago
Globally optimal hand-eye calibration
This paper introduces simultaneous globally optimal hand-eye self-calibration in both its rotational and translational components. The main contributions are new feasibility tests...
Thomas Ruland, Tomás Pajdla, Lars Krüg...
CVPR
2009
IEEE
17 years 1 months ago
New Appearance Models for Natural Image Matting
Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene’s appearance is ne...
Dheeraj Singaraju (Johns Hopkins University), Cars...
CVPR
2007
IEEE
16 years 8 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez