1018 search results - page 120 / 204 » Learning Probabilistic Models of Contours |
IPMI
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
ISAMI
2010
14 years 8 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...