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ICASSP
2010
IEEE
13 years 11 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
ICANN
2010
Springer
13 years 11 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
13 years 11 months ago
Krylov projection framework for Fourier model reduction
This paper analyzes the Fourier model reduction (FMR) method from a rational Krylov projection framework and shows how the FMR reduced model, which has guaranteed stability and a ...
Serkan Gugercin, Karen Willcox
CPHYSICS
2007
103views more  CPHYSICS 2007»
13 years 10 months ago
Algorithms for the evolution of electronic properties in nanocrystals
We illustrate recent progress in developing algorithms for solving the Kohn-Sham problem. Key ingredients of our algorithm include pseudopotentials implemented on a real space gri...
James R. Chelikowsky, Murilo L. Tiago, Yousef Saad...
PR
2006
115views more  PR 2006»
13 years 10 months ago
Diagonal principal component analysis for face recognition
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen