119 search results - page 4 / 24 » Adaptive Hausdorff Estimation of Density Level Sets |
ICCV
2009
IEEE
15 years 16 days ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...