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» Simultaneous Modeling and Tracking (SMAT) of Feature Sets
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ICCV
2003
IEEE
15 years 11 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
84
Voted
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
15 years 3 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
KI
2009
Springer
15 years 4 months ago
Constraint-Based Integration of Plan Tracking and Prognosis for Autonomous Production
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Paul Maier, Martin Sachenbacher, Thomas Rühr,...
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 4 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
CVPR
1999
IEEE
15 years 11 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg