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» Situation Recognition: Representation and Algorithms
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KDD
2005
ACM
86views Data Mining» more  KDD 2005»
14 years 9 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
AI
2000
Springer
13 years 8 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
14 years 3 months ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte
WAPCV
2004
Springer
14 years 2 months ago
Combining Conspicuity Maps for hROIs Prediction
Bottom-up cortical representations of visual conspicuity interact with top-down internal cognitive models of the external world to control eye movements, EMs, and the closely linke...
Claudio M. Privitera, Orazio Gallo, Giorgio Grimol...
PR
2006
89views more  PR 2006»
13 years 8 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis