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» Intrinsic Geometries in Learning
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ICIP
2010
IEEE
13 years 5 months ago
Exemplar-Based EM-like image denoising via manifold reconstruction
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Xin Li
MP
2011
13 years 2 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
SIAMIS
2010
152views more  SIAMIS 2010»
13 years 2 months ago
Nonparametric Regression between General Riemannian Manifolds
We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
Florian Steinke, Matthias Hein, Bernhard Schö...
TOG
2012
234views Communications» more  TOG 2012»
11 years 10 months ago
Fast automatic skinning transformations
Algebra I, II Complex Variables I, II Analysis I, II Awards, Scholarships, Fellowships Received • Back Cover Image, Proceedings of ACM SIGGRAPH, 2011 • New York University Henr...
Alec Jacobson, Ilya Baran, Ladislav Kavan, Jovan P...
COCOON
2009
Springer
14 years 2 months ago
On the Performances of Nash Equilibria in Isolation Games
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
Vittorio Bilò, Michele Flammini, Gianpiero ...