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» Computing the Dimension of Linear Subspaces
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PARA
2004
Springer
14 years 3 months ago
Structure-Preserving Model Reduction
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matr...
Ren-Cang Li, Zhaojun Bai
TIT
2010
128views Education» more  TIT 2010»
13 years 4 months ago
General classes of performance lower bounds for parameter estimation: part II: Bayesian bounds
In this paper, a new class of Bayesian lower bounds is proposed. Derivation of the proposed class is performed via projection of each entry of the vector-function to be estimated ...
Koby Todros, Joseph Tabrikian
ICPR
2008
IEEE
14 years 4 months ago
Harmonic mean for subspace selection
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
Wei Bian, Dacheng Tao
JCT
2000
111views more  JCT 2000»
13 years 9 months ago
Immanants and Finite Point Processes
Givena Hermitian,non-negativede nitekernelK and a character of the symmetric group on n letters, de ne the corresponding immanant function K x1;::: ;xn := P Qn i=1 Kxi;x i, where ...
Persi Diaconis, Steven N. Evans
CVPR
2005
IEEE
15 years 1 days ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang