160 search results - page 9 / 32 » Maximum a posteriori based regularization parameter selectio... |
ISBI
2004
IEEE
15 years 10 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
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...
88
Voted
CDC
2010
IEEE
14 years 4 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...
84
Voted
PAMI
2007
14 years 9 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
14 years 1 months 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...