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JMLR
2006
389views more  JMLR 2006»
13 years 5 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
JMLR
2010
105views more  JMLR 2010»
13 years 7 days ago
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
DAGSTUHL
2004
13 years 6 months ago
Optimal Approximation of Elliptic Problems by Linear and Nonlinear Mappings
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...
Erich Novak, Stephan Dahlke, Winfried Sickel
PAMI
2007
336views more  PAMI 2007»
13 years 5 months ago
Topological Equivalence between a 3D Object and the Reconstruction of Its Digital Image
— Digitization is not as easy as it looks. If one digitizes a 3D object even with a dense sampling grid, the reconstructed digital object may have topological distortions and in ...
Peer Stelldinger, Longin Jan Latecki, Marcelo Siqu...
ICC
2007
IEEE
104views Communications» more  ICC 2007»
13 years 11 months ago
Joint Design of Tx-Rx Beamformers in MIMO Downlink Channel
We consider a single-cell multiple-input multiple-output (MIMO) downlink channel where linear transmission and reception strategy is employed. The base station (BS) transmitter is...
Marian Codreanu, Antti Tölli, Markku J. Juntt...