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PAMI
2007
155views more  PAMI 2007»
13 years 8 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CSDA
2007
81views more  CSDA 2007»
13 years 9 months ago
A stochastic EM algorithm for a semiparametric mixture model
Recently, there has been a considerable interest in finite mixture models with semi-/non-parametric component distributions. Identifiability of such model parameters is generall...
Laurent Bordes, Didier Chauveau, Pierre Vandekerkh...
COMCOM
2004
145views more  COMCOM 2004»
13 years 8 months ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
ICC
2007
IEEE
175views Communications» more  ICC 2007»
14 years 3 months ago
Cooperative Diversity for Virtual MIMO System in Geometry-Based Stochastic Channel Model
—Cooperative diversity is effectively used to combat the correlated fading. In the existing papers on cooperative diversity, the fading channels are idealistically assumed to be ...
Hongtao Zhang, Geng-Sheng Kuo