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» On Computing Functions with Uncertainty
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JCS
2011
72views more  JCS 2011»
13 years 3 months ago
Automatically deriving information-theoretic bounds for adaptive side-channel attacks
We present a model of adaptive attacks which we combine with information-theoretic metrics to quantify the information revealed to an adaptive adversary. This enables us to expres...
Boris Köpf, David A. Basin
BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
14 years 2 months ago
Trajectory generation for constant velocity target motion estimation using monocular vision
- The performance of monocular vision based target tracking is a strong function of camera motion. Without motion, the target estimation problem is unsolvable. By designing the cam...
Eric W. Frew, Stephen M. Rock
RSS
2007
176views Robotics» more  RSS 2007»
13 years 10 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
GW
2007
Springer
93views Biometrics» more  GW 2007»
14 years 3 months ago
Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
Oya Aran, Thomas Burger, Alice Caplier, Lale Akaru...