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CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 3 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
IJON
1998
158views more  IJON 1998»
13 years 4 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
CSSE
2008
IEEE
13 years 11 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 1 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
13 years 10 months ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue