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» Estimation of Topological Dimension
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NIPS
2004
15 years 7 months ago
Newscast EM
We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...
Wojtek Kowalczyk, Nikos A. Vlassis
ECCV
2006
Springer
16 years 8 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
VIS
2004
IEEE
222views Visualization» more  VIS 2004»
16 years 7 months ago
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
Alexandra La Cruz, Matús Straka, Arnold K&o...
DAGM
2010
Springer
15 years 7 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
BMCBI
2005
127views more  BMCBI 2005»
15 years 6 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao