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AUTOMATICA
2005
126views more  AUTOMATICA 2005»
15 years 6 months ago
Relations between uncertainty structures in identification for robust control
Various techniques of system identification exist that provide a nominal model and an uncertainty bound. An important question is what the implications are for the particular choi...
Sippe G. Douma, Paul M. J. Van den Hof
CPHYSICS
2004
79views more  CPHYSICS 2004»
15 years 6 months ago
Hybrid kinetic-MHD simulations in general geometry
We present a hybrid kinetic-MHD model consisting of 3 species, the bulk fluid ions and electrons, and a kinetic minority hot particle species. The 3 species equations are derived ...
Charlson C. Kim, Carl R. Sovinec, Scott E. Parker
CVPR
2008
IEEE
16 years 8 months ago
Automatic non-rigid registration of 3D dynamic data for facial expression synthesis and transfer
Automatic non-rigid registration of 3D time-varying data is fundamental in many vision and graphics applications such as facial expression analysis, synthesis, and recognition. De...
Sen Wang, Xianfeng David Gu, Hong Qin
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 6 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang