121 search results - page 1 / 25 » Inducing Hidden Markov Models to Model Long-Term Dependencie... |
ECML
2005
Springer
13 years 10 months ago
2005
Springer
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
ICMLC
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
CVIU
2006
13 years 4 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...