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ICML
2006
IEEE
14 years 6 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICCV
2009
IEEE
14 years 10 months ago
Tensor completion for estimating missing values in visual data
In this paper we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process, or because the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...
ICML
2010
IEEE
13 years 7 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ICCS
2004
Springer
13 years 11 months ago
Chunking-Coordinated-Synthetic Approaches to Large-Scale Kernel Machines
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
Francisco J. González-Castaño, Rober...
CCGRID
2009
IEEE
13 years 3 months ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...