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» On matrices with the Edmonds-Johnson property
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ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 28 days ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
ICPR
2010
IEEE
14 years 15 days ago
Object Tracking by Structure Tensor Analysis
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
Michael Donoser, Stefan Kluckner, Horst Bischof
DAGM
2009
Springer
14 years 2 months ago
Optimal Parameter Estimation with Homogeneous Entities and Arbitrary Constraints
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
Jochen Meidow, Wolfgang Förstner, Christian B...
ACCV
2010
Springer
13 years 2 months ago
Linear Solvability in the Viewing Graph
The Viewing Graph [1] represents several views linked by the corresponding fundamental matrices, estimated pairwise. Given a Viewing Graph, the tuples of consistent camera matrices...
Alessandro Rudi, Matia Pizzoli, Fiora Pirri
SLOGICA
2011
13 years 2 months ago
Maximal and Premaximal Paraconsistency in the Framework of Three-Valued Semantics
Maximality is a desirable property of paraconsistent logics, motivated by the aspiration to tolerate inconsistencies, but at the same time retain from classical logic as much as p...
Ofer Arieli, Arnon Avron, Anna Zamansky