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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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Related topics
Related topics
9 relations
Broader (2)
Estimation theory
Machine learning
Laplacian matrix
Matching pursuit
Multi-task learning
Multiple kernel learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
SakethaNath Jagarlapudi
,
G. Dinesh
,
Raman Sankaran
,
C. Bhattacharyya
,
A. Ben-Tal
,
K. Ramakrishnan
Neural Information Processing Systems
2009
Corpus ID: 437835
Motivated from real world problems, like object categorization, we study a particular mixed-norm regularization for Multiple…
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Highly Cited
2006
Highly Cited
2006
Distributed utility maximization for network coding based multicasting: a shortest path approach
Yunnan Wu
,
S. Kung
IEEE Journal on Selected Areas in Communications
2006
Corpus ID: 18950098
One central issue in practically deploying network coding is the adaptive and economic allocation of network resource. We cast…
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Highly Cited
2005
Highly Cited
2005
A direct finite element implementation of the gradient‐dependent theory
Rashid K. Abu Al-Rub
,
G. Voyiadjis
2005
Corpus ID: 73722501
The enhanced non‐local gradient‐dependent theories formulate a constitutive framework on the continuum level that is used to…
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2005
2005
3D reconstruction from stereo images for interactions between real and virtual objects
Hansung Kim
,
K. Sohn
Signal processing. Image communication
2005
Corpus ID: 17006551
Highly Cited
2001
Highly Cited
2001
A general method to devise maximum-likelihood signal restoration multiplicative algorithms with non-negativity constraints
H. Lantéri
,
M. Roche
,
O. Cuevas
,
C. Aime
Signal Processing
2001
Corpus ID: 206022130
Highly Cited
2000
Highly Cited
2000
Regularization of P[sub 0]-Functions in Box Variational Inequality Problems
G. Ravindran
,
M. Gowda
SIAM Journal on Optimization
2000
Corpus ID: 16156285
Two recent papers [F. Facchinei, Math. Oper. Res., 23 (1998), pp. 735--745 and F. Facchinei and C. Kanzow, SIAM J. Control Optim…
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Highly Cited
1995
Highly Cited
1995
Learning methodology for failure detection and accommodation
M. Polycarpou
,
A. Vemuri
1995
Corpus ID: 110589371
A major goal of intelligent control systems is to achieve high performance with increased reliability, availability, and…
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Highly Cited
1994
Highly Cited
1994
Stable methods for ill-posed variational problems : prox-regularization of elliptic variational inequalities and semi-infinite problems
A. Kaplan
,
R. Tichatschke
1994
Corpus ID: 116992724
Concepts of well-posedness stabilizing techniques for ill-posed problems Tikhonov's principle prox-regularization methods of…
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Highly Cited
1992
Highly Cited
1992
Simultaneous iterative image restoration and evaluation of the regularization parameter
M. Kang
,
A. Katsaggelos
IEEE Transactions on Signal Processing
1992
Corpus ID: 38746810
A nonlinear regularized iterative image restoration algorithm is proposed, according to which only the noise variance is assumed…
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Highly Cited
1988
Highly Cited
1988
One-Dimensional Regularization with Discontinuities
David Lee
,
T. Pavlidis
IEEE Transactions on Pattern Analysis and Machine…
1988
Corpus ID: 32698916
Regularization is equivalent to fitting smoothing splines to the data so that efficient and reliable numerical algorithms exist…
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