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» A general framework for multidimensional adaptation
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SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 2 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
12 years 11 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»
13 years 7 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
14 years 9 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»
14 years 1 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