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SIAMSC
2008
198views more  SIAMSC 2008»
15 years 1 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
129
Voted
JIPS
2007
100views more  JIPS 2007»
15 years 1 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 8 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
16 years 3 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 8 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