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SIAMSC
2008
198views more  SIAMSC 2008»
14 years 9 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
JIPS
2007
100views more  JIPS 2007»
14 years 9 months ago
Static Type Assignment for SSA Form in CTOC
: Although the Java bytecode has numerous advantages, it also has certain shortcomings such as its slow execution speed and difficulty of analysis. In order to overcome such disadv...
Ki-Tae Kim, Weon-Hee Yoo
MP
2011
14 years 4 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
CVPR
2008
IEEE
15 years 11 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
HYBRID
2009
Springer
15 years 4 months ago
Computation of Discrete Abstractions of Arbitrary Memory Span for Nonlinear Sampled Systems
ion of discrete abstractions of arbitrary memory span for nonlinear sampled systems Gunther Reißig⋆ Technische Universit¨at Berlin, Fakult¨at Elektrotechnik und Informatik, He...
Gunther Reißig