16 search results - page 1 / 4 » Obtaining Well Calibrated Probabilities Using Bayesian Binni... |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
AAAI
2006
13 years 8 months ago
2006
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...