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» On Comparing Two Scenarios for Probabilistic Image Modelling
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CVPR
2011
IEEE
13 years 5 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
SCALESPACE
2007
Springer
14 years 2 months ago
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
This paper introduces a new framework for two-phase image segmentation, namely the Fuzzy Region Competition. A generic formulation is developed that extends in a convex way several...
Benoit Mory, Roberto Ardon
ECML
2007
Springer
14 years 2 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
CVPR
2004
IEEE
14 years 10 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ENTCS
2007
110views more  ENTCS 2007»
13 years 8 months ago
A Bayesian Model for Event-based Trust
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternativ...
Mogens Nielsen, Karl Krukow, Vladimiro Sassone