354 search results - page 32 / 71 » Estimating random variables from random sparse observations |
ESOP
2011
Springer
13 years 6 days ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
JMLR
2008
13 years 8 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
DAGM
2009
Springer
14 years 18 days ago
2009
Springer
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
JAMDS
2002
13 years 8 months ago
2002
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
CVIU
2006
13 years 8 months ago
2006
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...