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» Cluster-Based Adaptive and Batch Filtering
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TREC
1998
14 years 11 months ago
Cluster-Based Adaptive and Batch Filtering
David Eichmann, Miguel E. Ruiz, Padmini Srinivasan
100
Voted
MVA
2002
195views Computer Vision» more  MVA 2002»
14 years 9 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 11 months 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 11 months 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
16 years 4 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