94 search results - page 4 / 19 » Functional Bregman Divergence and Bayesian Estimation of Dis... |
ICML
2005
IEEE
16 years 13 days ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
112
Voted
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
113
Voted
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
100
Voted
ICPR
2008
IEEE
16 years 25 days ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
104
Voted
NIPS
2008
15 years 1 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...