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» An overview of clustering methods
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116
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ICASSP
2011
IEEE
14 years 4 months ago
Sampling on locally defined principal manifolds
We start with a locally defined principal curve definition for a given probability density function (pdf) and define a pairwise manifold score based on local derivatives of the...
Erhan Bas, Deniz Erdogmus
111
Voted
ICCV
2011
IEEE
14 years 20 days ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
121
Voted
CORR
2012
Springer
198views Education» more  CORR 2012»
13 years 8 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio
174
Voted
CCGRID
2005
IEEE
15 years 6 months ago
Distributed market broker architecture for resource aggregation in grid computing environments
In order to allow every user to extract aggregated computational power from idle PCs in the Internet, we propose a distributed architecture to achieve a market based resource shar...
Morihiko Tamai, Naoki Shibata, Keiichi Yasumoto, M...
CVPR
2007
IEEE
16 years 2 months ago
Differential Camera Tracking through Linearizing the Local Appearance Manifold
The appearance of a scene is a function of the scene contents, the lighting, and the camera pose. A set of n-pixel images of a non-degenerate scene captured from different perspec...
Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael ...