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ICPR
2006
IEEE
14 years 6 months ago
A Robust Algorithm for Generalized Orthonormal Discriminant Vectors
In this paper, we propose a robust and efficient algorithm for generalized orthonormal discriminant vectors (GODV). The major advantage of the proposed method is the use of the ra...
Wenming Zheng, Xiaoou Tang
ICMLA
2008
13 years 6 months ago
An Improved Generalized Discriminant Analysis for Large-Scale Data Set
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
Weiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
Optimally Sparse Frames
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
Peter G. Casazza, Andreas Heinecke, Felix Krahmer,...
FGR
2008
IEEE
155views Biometrics» more  FGR 2008»
13 years 11 months ago
Biased discriminant analysis using composite vectors for eye detection
We propose a new discriminant analysis using composite vectors for eye detection. A composite vector consists of a number of pixels inside a window on an image. The covariance of ...
Chunghoon Kim, Matthew Turk, Chong-Ho Choi
ESANN
2004
13 years 6 months ago
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...