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CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 9 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CSDA
2007
123views more  CSDA 2007»
13 years 8 months ago
Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
NIPS
2008
13 years 10 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CVPR
2011
IEEE
13 years 4 months ago
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
Alexandros Panagopoulos, Chaohui Wang, Dimitris Sa...
ECCV
2004
Springer
14 years 10 months ago
Hand Motion from 3D Point Trajectories and a Smooth Surface Model
A method is proposed to track the full hand motion from 3D points reconstructed using a stereoscopic set of cameras. This approach combines the advantages of methods that use 2D mo...
Guillaume Dewaele, Frederic Devernay, Radu Horaud