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CPAIOR
2007
Springer
14 years 4 months ago
Modeling the Regular Constraint with Integer Programming
Many optimisation problems contain substructures involving constraints on sequences of decision variables. Such constraints can be very complex to express with mixed integer progra...
Marie-Claude Côté, Bernard Gendron, L...
ICML
2007
IEEE
14 years 10 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
ECCV
2008
Springer
14 years 11 months ago
A Generative Shape Regularization Model for Robust Face Alignment
In this paper, we present a robust face alignment system that is capable of dealing with exaggerating expressions, large occlusions, and a wide variety of image noises. The robustn...
Leon Gu, Takeo Kanade
AAAI
2007
14 years 7 days ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
CIKM
2004
Springer
14 years 3 months ago
Regularizing translation models for better automatic image annotation
The goal of automatic image annotation is to automatically generate annotations for images to describe their content. In the past, statistical machine translation models have been...
Feng Kang, Rong Jin, Joyce Y. Chai