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JMLR
2006
97views more  JMLR 2006»
15 years 6 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
SIAMIS
2008
82views more  SIAMIS 2008»
15 years 6 months ago
Inpainting by Flexible Haar-Wavelet Shrinkage
We present novel wavelet-based inpainting algorithms. Applying ideas from anisotropic regularization and diffusion our models can better handle degraded pixels at edges. We interp...
R. H. Chan, Simon Setzer, Gabriele Steidl
PVLDB
2011
14 years 9 months ago
Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores
Adaptive indexing is characterized by the partial creation and refinement of the index as side effects of query execution. Dynamic or shifting workloads may benefit from prelimi...
Stratos Idreos, Stefan Manegold, Harumi A. Kuno, G...
NETWORKING
2007
15 years 8 months ago
Reinforcement Learning-Based Load Shared Sequential Routing
We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
Fariba Heidari, Shie Mannor, Lorne Mason
CVPR
2007
IEEE
16 years 8 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...