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Matrix regularization

Known as: Regularization 
In the field of statistical learning theory, matrix regularization generalizes notions of vector regularization to cases where the object to be… 
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Papers overview

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Highly Cited
2009
Highly Cited
2009
Motivated from real world problems, like object categorization, we study a particular mixed-norm regularization for Multiple… 
Highly Cited
2006
Highly Cited
2006
One central issue in practically deploying network coding is the adaptive and economic allocation of network resource. We cast… 
Highly Cited
2005
Highly Cited
2005
The enhanced non‐local gradient‐dependent theories formulate a constitutive framework on the continuum level that is used to… 
Highly Cited
2000
Highly Cited
2000
Two recent papers [F. Facchinei, Math. Oper. Res., 23 (1998), pp. 735--745 and F. Facchinei and C. Kanzow, SIAM J. Control Optim… 
Highly Cited
1995
Highly Cited
1995
A major goal of intelligent control systems is to achieve high performance with increased reliability, availability, and… 
Highly Cited
1994
Highly Cited
1994
Concepts of well-posedness stabilizing techniques for ill-posed problems Tikhonov's principle prox-regularization methods of… 
Highly Cited
1992
Highly Cited
1992
A nonlinear regularized iterative image restoration algorithm is proposed, according to which only the noise variance is assumed… 
Highly Cited
1988
Highly Cited
1988
Regularization is equivalent to fitting smoothing splines to the data so that efficient and reliable numerical algorithms exist…