1891 search results - page 239 / 379 » Constrained Subspace Modelling |
131
Voted
COLT
2010
Springer
15 years 17 days ago
2010
Springer
We analyze the regret, measured in terms of log loss, of the maximum likelihood (ML) sequential prediction strategy. This "follow the leader" strategy also defines one o...
116
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
142
Voted
TIP
2008
15 years 2 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
133
Voted
WSC
1997
15 years 3 months ago
1997
Modeling and simulation of very large systems introduces a number of issues that are not seen in the modeling of simpler systems. These arise because the resource requirements for...
116
Voted
ICIP
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...