Sciweavers

508 search results - page 2 / 102
» A Variational Approach to Learning Curves
Sort
View
70
Voted
VLSM
2005
Springer
15 years 3 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
15 years 10 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
15 years 10 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, ...
100
Voted
ICCV
2007
IEEE
15 years 11 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
14 years 9 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