SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
SIGMOD
2006
ACM
14 years 11 months ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
KDD
2009
ACM
15 years 23 min ago
2009
ACM
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
ICML
2005
IEEE
15 years 8 days ago
2005
IEEE
We extend the PAC-Bayes theorem to the sample-compression setting where each classifier is represented by two independent sources of information: a compression set which consists ...
IPMI
2009
Springer
15 years 8 days ago
2009
Springer
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
MICCAI
2004
Springer
15 years 10 days ago
2004
Springer
Abstract. In this paper we present, evaluate, and discuss two multiscale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic ...
ICIP
2008
IEEE
15 years 1 months ago
2008
IEEE
Typical object detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distributi...
ECCV
2008
Springer
15 years 1 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...