136 search results - page 26 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
KDD
2003
ACM
14 years 6 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
NIPS
2000
13 years 7 months ago
2000
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
DAGM
2010
Springer
13 years 7 months ago
2010
Springer
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...
ICDE
2009
IEEE
15 years 5 months ago
2009
IEEE
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
HUMO
2007
Springer
14 years 6 days ago
2007
Springer
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...