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JMLR
2012
13 years 9 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
CVPR
1999
IEEE
16 years 8 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
CVPR
2005
IEEE
16 years 8 months ago
Multiple Collaborative Kernel Tracking
Those motion parameters that cannot be recovered from image measurements are unobservable in the visual dynamic system. This paper studies this important issue of singularity in th...
Zhimin Fan, Ying Wu, Ming Yang
ICCV
2007
IEEE
16 years 8 months ago
Real-Time Marker-free Motion Capture from multiple cameras
We present a fully-automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the person filmed from a synchronized camera set. We...
Brice Michoud, Erwan Guillou, Héctor M. Bri...
134
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ICCV
2005
IEEE
16 years 8 months ago
Ensuring Color Consistency across Multiple Cameras
Most multi-camera vision applications assume a single common color response for all cameras. However different cameras--even of the same type--can exhibit radically different colo...
Adrian Ilie, Greg Welch