42 search results - page 3 / 9 » Loop series for discrete statistical models on graphs |
ICIG
2009
IEEE
13 years 4 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ECCV
2004
Springer
14 years 8 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....
MM
2000
ACM
13 years 10 months ago
2000
ACM
In this paper we present novel algorithms for computing scenes and within-scene structures in films. We begin by mapping insights from film-making rules and experimental results f...
RECOMB
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...