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ICCV
2011
IEEE
12 years 7 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ALDT
2009
Springer
186views Algorithms» more  ALDT 2009»
14 years 2 months ago
The Complexity of Probabilistic Lobbying
Abstract. We propose various models for lobbying in a probabilistic environment, in which an actor (called “The Lobby”) seeks to influence the voters’ preferences of voting ...
Gábor Erdélyi, Henning Fernau, Judy ...
ICRA
2009
IEEE
129views Robotics» more  ICRA 2009»
14 years 2 months ago
Novel parameter estimation schemes in microsystems
— This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological s...
Hakan Bilen, Muhammet A. Hocaoglu, Eray A. Baran, ...
ASWC
2008
Springer
13 years 9 months ago
ROC: A Method for Proto-ontology Construction by Domain Experts
Abstract. Ontology construction is a labour-intensive and costly process. Even though many formal and semi-formal vocabularies are available, creating an ontology for a specific ap...
Nicole J. J. P. Koenderink, Mark van Assem, J. Lar...
ICML
2002
IEEE
14 years 8 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao