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ICIP
2005
IEEE
16 years 8 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ICML
2002
IEEE
16 years 7 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
ALT
2005
Springer
16 years 3 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
16 years 1 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
SEMWEB
2007
Springer
16 years 23 days ago
Probabilistic Geospatial Ontologies
Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps be...
Sumit Sen