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» A Variational Approach to Learning Curves
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VLSM
2005
Springer
13 years 10 months ago
A Variational Approach for Object Contour Tracking
In this paper we describe a new framework for the tracking of closed curves described through implicit surface modeling. The approach proposed here enables a continuous tracking al...
Nicolas Papadakis, Étienne Mémin, Fr...
ICPR
2006
IEEE
14 years 6 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...
ICML
2008
IEEE
14 years 6 months ago
Democratic approximation of lexicographic preference models
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
Fusun Yaman, Thomas J. Walsh, Michael L. Littman, ...
ICCV
2007
IEEE
14 years 7 months ago
Variational optimal control technique for the tracking of deformable objects
In this paper, a new framework for the tracking of closed curves is described. The proposed approach, formalized through an optimal control technique, enables a continuous trackin...
Nicolas Papadakis, Étienne Mémin
AI
2010
Springer
13 years 5 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel