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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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C++Co-trainingDocument classificationDuality (optimization)

Broader (1)

Machine learning

Papers overview

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Highly Cited
2015
Highly Cited
2015
Low-rank matrix factorization with multiple Hypergraph regularizer
2013
2013
A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems
2012
2012
A Grassmann manifold-based domain adaptation approach
Domain adaptation algorithms that handle shifts in the distribution between training and testing data are receiving much… 
2012
2012
Regularized Discriminant Analysis for Holistic Human Activity Recognition
A holistic or appearance-based eigenfeature regularization methodology based on a three-parameter eigenmodel improves computer… 
2010
2010
Generalized geometry in AdS/CFT and volume minimization
2009
2009
Nonlinear regularization methods for ill-posed problems with piecewise constant or strongly varying solutions
In this paper we consider nonlinear ill-posed problems with piecewise constant or strongly varying solutions. A class of… 
2008
2008
Person-Independent Head Pose Estimation Using Biased Manifold Embedding
Head pose estimation has been an integral problem in the study of face recognition systems and human-computer interfaces, as part… 
1997
1997
Extension of Isometries in Finite-Dimensional Indefinite Scalar Product Spaces and Polar Decompositions
Witt's theorem on the extension of H-isometries to H-unitary matrices with respect to the scalar product generated by a self… 
Highly Cited
1994
Highly Cited
1994
Stable methods for ill-posed variational problems : prox-regularization of elliptic variational inequalities and semi-infinite problems
Concepts of well-posedness stabilizing techniques for ill-posed problems Tikhonov's principle prox-regularization methods of… 
1991
1991
A Numerical Study of an Augmented Lagrangian Method for the Estimation of Parameters in Elliptic Systems
A method based on an augmented Lagrangian formulation is developed which allows coefficients in an elliptic differential equation… 
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