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EMNLP
2006
13 years 9 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
PAMI
2011
13 years 2 months ago
Approximate Nearest Subspace Search
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
COLT
2007
Springer
14 years 1 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor
MICCAI
2002
Springer
14 years 8 months ago
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
Kilian M. Pohl, William M. Wells III, Alexandre Gu...
PDCAT
2007
Springer
14 years 1 months ago
Privacy Preserving Set Intersection Protocol Secure against Malicious Behaviors
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
Yingpeng Sang, Hong Shen