228 search results - page 7 / 46 » A general probabilistic model of the PCR process |
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
BMCBI
2005
13 years 7 months ago
2005
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
PODS
2007
ACM
14 years 7 months ago
2007
ACM
Many applications today need to manage large data sets with uncertainties. In this paper we describe the foundations of managing data where the uncertainties are quantified as pro...