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» Using a probabilistic source model for comparing images
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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 27 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
DAGM
2005
Springer
14 years 28 days ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...
ICCV
2005
IEEE
14 years 1 months ago
Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
In this study, we demonstrate the effectiveness of using extended light sources for modeling the appearance of an object for varying illumination. Extended light sources have a ra...
Imari Sato, Takahiro Okabe, Yoichi Sato, Katsushi ...
CVBIA
2005
Springer
14 years 28 days ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
14 years 6 days ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu