140 search results - page 6 / 28 » Shape matching based on graph alignment using hidden Markov ... |
BMVC
2001
13 years 9 months ago
2001
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
ICIAR
2009
Springer
14 years 1 days ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
SSPR
2010
Springer
13 years 5 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...