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» Maximal Vector Computation in Large Data Sets
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CVPR
2008
IEEE
16 years 8 months ago
Computing minimal deformations: application to construction of statistical shape models
Nonlinear registration is mostly performed after initialization by a global, linear transformation (in this work, we focus on similarity transformations), computed by a linear reg...
Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali...
EUROCRYPT
2004
Springer
15 years 12 months ago
Secure Computation of the k th-Ranked Element
Given two or more parties possessing large, confidential datasets, we consider the problem of securely computing the kth -ranked element of the union of the datasets, e.g. the med...
Gagan Aggarwal, Nina Mishra, Benny Pinkas
ICDCS
2011
IEEE
14 years 6 months ago
Smart Redundancy for Distributed Computation
Many distributed software systems allow participation by large numbers of untrusted, potentially faulty components on an open network. As faults are inevitable in this setting, th...
Yuriy Brun, George Edwards, Jae Young Bang, Nenad ...
ATAL
2007
Springer
16 years 23 days ago
An agent-based methodology for analyzing and visualizing educational assessment data
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrat...
Elizabeth Sklar, Jordan Salvit, Christopher Camach...
ACL
2009
15 years 4 months ago
A Beam-Search Extraction Algorithm for Comparable Data
This paper extends previous work on extracting parallel sentence pairs from comparable data (Munteanu and Marcu, 2005). For a given source sentence S, a maximum entropy (ME) class...
Christoph Tillmann