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TSP
2010
13 years 3 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
NIPS
2007
13 years 10 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
CVPR
2004
IEEE
14 years 10 months ago
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
Paolo Favaro, Stefano Soatto
ICISS
2007
Springer
14 years 2 months ago
Towards Automated Privilege Separation
Applications are subject to threat from a number of attack vectors, and limiting their attack surface is vital. By using privilege separation to constrain application access to pro...
Dhananjay Bapat, Kevin R. B. Butler, Patrick Drew ...
WEBI
2005
Springer
14 years 2 months ago
Aligning Class Hierarchies with Grass-Roots Class Alignment
The performance of an ontology alignment technique largely depends on the amount of information that can be leveraged for the alignment task. On the Semantic Web, end-users may ex...
Baoshi Yan