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ECML
2007
Springer
14 years 5 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICCV
1999
IEEE
14 years 3 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
CSDA
2010
80views more  CSDA 2010»
13 years 11 months ago
Tests for cointegration with structural breaks based on subsamples
This paper considers tests for cointegration with allowance for structural breaks, using the extrema of residual-based tests over subsamples of the data. One motivation for the ap...
James Davidson, Andrea Monticini
ECCV
2008
Springer
15 years 1 months ago
Robust Multiple Structures Estimation with J-Linkage
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
Roberto Toldo, Andrea Fusiello
ICPR
2002
IEEE
15 years 7 days ago
Structure in Errors: A Case Study in Fingerprint Verification
Measuring the accuracy of biometrics systems is important. Accuracy estimates depend very much on the quality of the test data that are used. Including poor quality data will degr...
Sharath Pankanti, Nalini K. Ratha, Ruud M. Bolle