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» Reformulating Constraint Models Using Input Data
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ISVC
2009
Springer
15 years 10 months ago
Weight, Sex, and Facial Expressions: On the Manipulation of Attributes in Generative 3D Face Models
Generative 3D Face Models are expressive models with applications in modelling and editing. They are learned from example faces, and offer a compact representation of the continuou...
Brian Amberg, Pascal Paysan, Thomas Vetter
113
Voted
ICML
2000
IEEE
16 years 4 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
CHI
2002
ACM
16 years 3 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
CVPR
2008
IEEE
16 years 5 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
154
Voted
TCAD
1998
115views more  TCAD 1998»
15 years 3 months ago
Probabilistic modeling of dependencies during switching activity analysis
—This paper addresses, from a probabilistic point of view, the issue of switching activity estimation in combinational circuits under the zero-delay model. As the main theoretica...
Radu Marculescu, Diana Marculescu, Massoud Pedram