38 search results - page 4 / 8 » Boosting and Maximum Likelihood for Exponential Models |
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
CSDA
2007
14 years 9 months ago
2007
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...