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» Sparse probabilistic classifiers
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FLAIRS
2004
13 years 9 months ago
Highway Vehicle Classification by Probabilistic Neural Networks
The Federal Highway Administration (FHWA) Office of Highway Planning requires states to furnish vehicle classification data as part of the Highway Performance Monitoring Systems (...
Valerian Kwigizile, Majura F. Selekwa, Renatus N. ...
ICCV
2009
IEEE
15 years 16 days ago
Correlated Probabilistic Trajectories for Pedestrian Motion Detection
This paper introduces an algorithm for detecting walking motion using point trajectories in video sequences. Given a number of point trajectories, we identify those which are sp...
Frank Perbet, Atsuto Maki, Bjorn Stenger
DIS
2008
Springer
13 years 9 months ago
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation
The need for non-standard text categorisation, i.e. based on some subtle criterion other than topics, may arise in various circumstances. In this study, we consider written respons...
Ata Kabán
ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
14 years 24 days ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman