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ESANN
2008
15 years 9 days ago
Rank-based quality assessment of nonlinear dimensionality reduction
Abstract. Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, ...
John Aldo Lee, Michel Verleysen
65
Voted
TOMS
2008
96views more  TOMS 2008»
14 years 10 months ago
Block variants of Hammarling's method for solving Lyapunov equations
This paper is concerned with the efficient numerical solution of the Lyapunov equation AT X +XA = -C with a stable matrix A and a symmetric positive semidefinite matrix C of possi...
Daniel Kressner
SIAMMAX
2010
224views more  SIAMMAX 2010»
14 years 5 months ago
Robust Approximate Cholesky Factorization of Rank-Structured Symmetric Positive Definite Matrices
Abstract. Given a symmetric positive definite matrix A, we compute a structured approximate Cholesky factorization A RT R up to any desired accuracy, where R is an upper triangula...
Jianlin Xia, Ming Gu
TSP
2011
152views more  TSP 2011»
14 years 5 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
93
Voted
CVPR
2005
IEEE
16 years 26 days ago
On the Absolute Quadratic Complex and Its Application to Autocalibration
This article introduces the absolute quadratic complex formed by all lines that intersect the absolute conic. If denotes the 3 ? 3 symmetric matrix representing the image of that ...
Jean Ponce, Kenton McHenry, Théodore Papado...