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» Selectivity Estimation using Probabilistic Models
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CVPR
2004
IEEE
16 years 1 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
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 3 months ago
Evaluation relaxation using substructural information and linear estimation
The paper presents an evaluation-relaxation scheme where a fitness surrogate automatically adapts to the problem structure and the partial contributions of subsolutions to the fit...
Kumara Sastry, Cláudio F. Lima, David E. Go...
ICCSA
2003
Springer
15 years 5 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
ACCV
2009
Springer
15 years 6 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
ESANN
2008
15 years 1 months ago
Using the Delta Test for Variable Selection
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
Emil Eirola, Elia Liitiäinen, Amaury Lendasse...