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ECML
2003
Springer
14 years 2 months ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...
IROS
2008
IEEE
119views Robotics» more  IROS 2008»
14 years 4 months ago
Robust stability analysis of a bilateral teleoperation system using the parameter space approach
— One of the main challenges in telerobotics is the selection of control architectures and control parameters, which are able to robustly stabilize the overall teleoperation syst...
Angelika Peer, Martin Buss
ICIP
2004
IEEE
14 years 11 months ago
Robust perceptual image hashing via matrix invariants
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
14 years 3 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
BMCBI
2010
152views more  BMCBI 2010»
13 years 9 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto