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» Application of Level Set Methods in Computer Vision
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NIPS
2008
13 years 9 months ago
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Multi-level hierarchical models provide an attractive framework for incorporating correlations induced in a response variable organized in a hierarchy. Model fitting is challengin...
Liang Zhang, Deepak Agarwal
ICLP
2010
Springer
13 years 11 months ago
Methods and Methodologies for Developing Answer-Set Programs - Project Description
Answer-set programming (ASP) is a well-known formalism for declarative problem solving, enjoying a continuously increasing number of diverse applications. However, arguably one of ...
Johannes Oetsch, Jörg Pührer, Hans Tompi...
ICCV
1999
IEEE
14 years 9 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer
BMVC
2000
13 years 9 months ago
Estimating Vision Parameters given Data with Covariances
A new parameter estimation method is presented, applicable to many computer vision problems. It operates under the assumption that the data (typically image point locations) are a...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...
ICCV
2007
IEEE
14 years 9 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang