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SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 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
ACL
2006
13 years 9 months ago
Discriminative Pruning of Language Models for Chinese Word Segmentation
This paper presents a discriminative pruning method of n-gram language model for Chinese word segmentation. To reduce the size of the language model that is used in a Chinese word...
Jianfeng Li, Haifeng Wang, Dengjun Ren, Guohua Li
NIPS
2004
13 years 9 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
JMLR
2010
158views more  JMLR 2010»
13 years 2 months ago
Topology Selection in Graphical Models of Autoregressive Processes
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Jitkomut Songsiri, Lieven Vandenberghe
ECCV
2000
Springer
14 years 9 months ago
Improvements to Gamut Mapping Colour Constancy Algorithms
Abstract. In his paper we introduce two improvements to the threedimensional gamut mapping approach to computational colour constancy. This approach consist of two separate parts. ...
Kobus Barnard