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» A Composite Stabilizing Data Structure
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ICPR
2008
IEEE
14 years 8 months ago
Manifold optimisation for motion factorisation
This paper presents a novel formulation for the popular factorisation based solution for Structure from Motion. Since our measurement matrices are populated with incomplete and in...
Appu Shaji, David Suter, Sharat Chandran
COLT
2004
Springer
14 years 29 days ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
ECAI
2006
Springer
13 years 11 months ago
Background Default Knowledge and Causality Ascriptions
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...
Jean-François Bonnefon, Rui Da Silva Neves,...
DIS
2008
Springer
13 years 9 months ago
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Albrecht Zimmermann
IJAR
2008
92views more  IJAR 2008»
13 years 7 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...