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» Cluster-Based Adaptive and Batch Filtering
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TREC
1998
14 years 6 days ago
Cluster-Based Adaptive and Batch Filtering
David Eichmann, Miguel E. Ruiz, Padmini Srinivasan
MVA
2002
195views Computer Vision» more  MVA 2002»
13 years 10 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
TREC
2001
14 years 7 days ago
Oracle at TREC 10: Filtering and Question-Answering
: Oracle's objective in TREC-10 was to study the behavior of Oracle information retrieval in previously unexplored application areas. The software used was Oracle9i Text[1], O...
Shamin Alpha, Paul Dixon, Ciya Liao, Changwen Yang
RSS
2007
129views Robotics» more  RSS 2007»
14 years 8 days ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
CVPR
2005
IEEE
15 years 26 days ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell