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STACS
2009
Springer
8 years 11 months ago
Error-Correcting Data Structures
We study data structures in the presence of adversarial noise. We want to encode a given object in a succinct data structure that enables us to efficiently answer specific queries...
Ronald de Wolf
STACS
2010
Springer
8 years 11 months ago
Efficient and Error-Correcting Data Structures for Membership and Polynomial Evaluation
We construct efficient data structures that are resilient against a constant fraction of adversarial noise. Our model requires that the decoder answers most queries correctly with...
Victor Chen, Elena Grigorescu, Ronald de Wolf
ECCV
2010
Springer
8 years 6 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
SBP
2015
Springer
3 years 7 days ago
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information
A discriminative model is presented for crowd-sourcing the annotation of news stories to produce a structured dataset about incidents involving militarized disputes between nation-...
Alexander G. Ororbia II, Yang Xu, Vito D'Orazio, D...
TCST
2016
42views more  TCST 2016»
3 years 14 days ago
Gaussian Process-Based Predictive Control for Periodic Error Correction
—Many controlled systems suffer from unmodeled nonlinear effects that recur periodically over time. Model-free controllers generally cannot compensate these effects, and good phy...
Edgar D. Klenske, Melanie Nicole Zeilinger, Bernha...
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