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IJON
2006
103views more  IJON 2006»
13 years 9 months ago
Kernel extrapolation
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri ...
FCT
2007
Springer
14 years 3 months ago
Path Algorithms on Regular Graphs
We consider standard algorithms of finite graph theory, like for instance shortest path algorithms. We present two general methods to polynomially extend these algorithms to infi...
Didier Caucal, Dinh Trong Hieu
IJCV
2008
167views more  IJCV 2008»
13 years 9 months ago
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
Abstract. A novel adaptive and exemplar-based approach is proposed for image restoration (denoising) and representation. The method is based on a pointwise selection of similar ima...
Charles Kervrann, Jérôme Boulanger
TNN
2008
88views more  TNN 2008»
13 years 9 months ago
A Fault-Tolerant Regularizer for RBF Networks
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
Chi-Sing Leung, J. P. F. Sum
VC
2008
93views more  VC 2008»
13 years 8 months ago
Vortex methods for incompressible flow simulations on the GPU
We present a remeshed vortex particle method for incompressible flow simulations on GPUs. The particles are convected in a Lagrangian frame and are periodically reinitialized on a ...
Diego Rossinelli, Petros Koumoutsakos