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» A general framework for multidimensional adaptation
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SIAMMAX
2010
145views more  SIAMMAX 2010»
14 years 4 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
ICASSP
2011
IEEE
14 years 1 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
SIAMDM
2000
103views more  SIAMDM 2000»
14 years 9 months ago
Directional Routing via Generalized st-Numberings
We present a mathematical model for network routing based on generating paths in a consistent direction. Our development is based on an algebraic and geometric framework for defini...
Fred S. Annexstein, Kenneth A. Berman
ICIP
1998
IEEE
15 years 11 months ago
Generalized Hermite Polynomials for Image Reconstruction from Zero Crossing Contours
Generalized Hermite polynomials in two variables are employed for the reconstruction of images from a knowledge of their zero crossing contours. The problem of reconstruction of s...
Y. V. Venkatesh
CNSR
2005
IEEE
128views Communications» more  CNSR 2005»
15 years 3 months ago
ARAS: Adaptive Recommender for Academic Scheduling
This paper describes ARAS, a prototype adaptive website based on a novel and general adaptive website framework. ARAS acts as a course counselor, guiding students through an onlin...
Mark Kilfoil, Wenpu Xing, Ali A. Ghorbani