160 search results - page 9 / 32 » Maximum a posteriori based regularization parameter selectio... |
ISBI
2004
IEEE
14 years 9 months ago
2004
IEEE
We provide approximate expressions for the covariance matrix of kinetic parameter estimators based on time activity curve (TAC) reconstructions when TACs are modeled as a linear c...
CVPR
2004
IEEE
14 years 13 days 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...
CDC
2010
IEEE
13 years 3 months ago
2010
IEEE
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
PAMI
2007
13 years 8 months ago
2007
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...