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» Levels of Details for Gaussian Mixture Models
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ISBI
2008
IEEE
15 years 10 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...
66
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INTERSPEECH
2010
14 years 4 months ago
Can tongue be recovered from face? the answer of data-driven statistical models
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
Atef Ben Youssef, Pierre Badin, Gérard Bail...
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
14 years 11 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
NIPS
2004
14 years 10 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
CVIU
2006
110views more  CVIU 2006»
14 years 9 months ago
Simultaneous tracking of multiple body parts of interacting persons
This paper presents a framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow. The framework uses mu...
Sangho Park, Jake K. Aggarwal