779 search results - page 104 / 156 » Ranking distributed probabilistic data |
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper suggests using discrete feature displacements and optical flow simultaneously to determine the camera motion and its velocity. This is advantageous when the number of ...
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
DAGM
1998
Springer
15 years 4 months ago
1998
Springer
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
We propose a method for interactive colour image segmentation. The goal is to detect an object from the background, when some markers on object(s) and the background are given. As...
AAAI
2012
13 years 2 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...