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VECPAR
2004
Springer
14 years 1 months ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 7 months ago
Interference Alignment as a Rank Constrained Rank Minimization
Abstract--We show that the maximization of the sum degreesof-freedom for the static flat-fading multiple-input multipleoutput (MIMO) interference channel is equivalent to a rank co...
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
PVLDB
2008
107views more  PVLDB 2008»
13 years 6 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
IEICET
2007
114views more  IEICET 2007»
13 years 7 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
ECCV
2002
Springer
14 years 9 months ago
Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
Abstract. We propose a probabalistic model of single source multimodal generation and show how algorithms for maximizing mutual information can find the correspondences between com...
John W. Fisher III, Trevor Darrell