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Manifold regularization
In machine learning, Manifold regularization is a technique for using the shape of a dataset to constrain the functions that should be learned on…
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Related topics
Related topics
23 relations
C++
Co-training
Document classification
Duality (optimization)
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Low-rank matrix factorization with multiple Hypergraph regularizer
Taisong Jin
,
Jun Yu
,
J. You
,
Kun Zeng
,
Cuihua Li
,
Zhengtao Yu
Pattern Recognition
2015
Corpus ID: 22395045
2013
2013
A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems
F. Piccialli
,
S. Cuomo
,
P. D. Michele
International Conference on Conceptual Structures
2013
Corpus ID: 29599750
2012
2012
A Grassmann manifold-based domain adaptation approach
Jingjing Zheng
,
Ming-Yu Liu
,
R. Chellappa
,
P. Phillips
International Conference on Pattern Recognition
2012
Corpus ID: 5801986
Domain adaptation algorithms that handle shifts in the distribution between training and testing data are receiving much…
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2012
2012
Regularized Discriminant Analysis for Holistic Human Activity Recognition
Bappaditya Mandal
,
H. Eng
IEEE Intelligent Systems
2012
Corpus ID: 16373156
A holistic or appearance-based eigenfeature regularization methodology based on a three-parameter eigenmodel improves computer…
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2010
2010
Generalized geometry in AdS/CFT and volume minimization
Maxime Gabella
,
J. Sparks
2010
Corpus ID: 119304883
2009
2009
Nonlinear regularization methods for ill-posed problems with piecewise constant or strongly varying solutions
H. Egger
,
A. Leitão
2009
Corpus ID: 3565123
In this paper we consider nonlinear ill-posed problems with piecewise constant or strongly varying solutions. A class of…
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2008
2008
Person-Independent Head Pose Estimation Using Biased Manifold Embedding
V. Balasubramanian
,
S. Krishna
,
S. Panchanathan
EURASIP Journal on Advances in Signal Processing
2008
Corpus ID: 10776350
Head pose estimation has been an integral problem in the study of face recognition systems and human-computer interfaces, as part…
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1997
1997
Extension of Isometries in Finite-Dimensional Indefinite Scalar Product Spaces and Polar Decompositions
Yuri Bolshakov
,
C. Mee
,
A. Ran
,
B. Reichstein
,
L. Rodman
SIAM Journal on Matrix Analysis and Applications
1997
Corpus ID: 14877828
Witt's theorem on the extension of H-isometries to H-unitary matrices with respect to the scalar product generated by a self…
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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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1991
1991
A Numerical Study of an Augmented Lagrangian Method for the Estimation of Parameters in Elliptic Systems
Kazufumi Ito
,
M. Kroller
,
K. Kunisch
SIAM Journal on Scientific Computing
1991
Corpus ID: 31460509
A method based on an augmented Lagrangian formulation is developed which allows coefficients in an elliptic differential equation…
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