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ICCV
2007
IEEE
16 years 5 months ago
Enabling Users to Guide the Design of Robust Model Fitting Algorithms
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
Matthias Wimmer, Freek Stulp, Bernd Radig
156
Voted
CVPR
2008
IEEE
16 years 5 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ECML
2001
Springer
15 years 7 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ECOOP
2000
Springer
15 years 7 months ago
Copying and Comparing: Problems and Solutions
In object oriented programming, it is sometimes necessary to copy objects and to compare them for equality or inequality. We discuss some of the issues involved in copying and comp...
Peter Grogono, Markku Sakkinen
ECCV
2008
Springer
15 years 5 months ago
Scene Segmentation Using the Wisdom of Crowds
Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images...
Ian Simon, Steven M. Seitz