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ESANN
2000
15 years 3 months ago
Quantum iterative algorithm for image reconstruction problems
Iterative algorithm based on quantum tunneling is proposed by making use of mean- eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
Jun-ichi Inoue
CORR
2002
Springer
98views Education» more  CORR 2002»
15 years 1 months ago
Two Representations for Iterative Non-prioritized Change
We address a general representation problem for belief change, and describe two interrelated representations for iterative nonprioritized change: a logical representation in terms...
Alexander Bochman
CVPR
2004
IEEE
16 years 3 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
IFIP12
2008
15 years 3 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
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ICIP
2009
IEEE
16 years 2 months ago
Edge-preserving Nonlinear Iterative Image Resampling Method
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...