1039 search results - page 115 / 208 » Kernels and Regularization on Graphs |
107
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JMLR
2008
15 years 23 days ago
2008
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
108
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
102
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FCCM
2006
IEEE
15 years 6 months ago
2006
IEEE
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
121
Voted
AUTOMATICA
2010
15 years 28 days ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
118
Voted
PAMI
2010
14 years 11 months ago
2010
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...