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ECCV
2006
Springer
16 years 4 months ago
Robust Visual Tracking for Multiple Targets
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Yizheng Cai, Nando de Freitas, James J. Little
ICML
2006
IEEE
16 years 3 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
15 years 8 months ago
Simulation and weights of multiple cues for robust object recognition
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...
Sarah Aboutalib, Manuela M. Veloso
IPSN
2004
Springer
15 years 7 months ago
Lattice sensor networks: capacity limits, optimal routing and robustness to failures
We study network capacity limits and optimal routing algorithms for regular sensor networks, namely, square and torus grid sensor networks, in both, the static case (no node failu...
Guillermo Barrenechea, Baltasar Beferull-Lozano, M...
ICARCV
2002
IEEE
132views Robotics» more  ICARCV 2002»
15 years 7 months ago
Integral quadratic constraint approach vs. multiplier approach
Integral quadratic constraints (IQC) arise in many optimal and/or robust control problems. The IQC approach can be viewed as a generalization of the classical multiplier approach ...
Minyue Fu, Soura Dasgupta, Yeng Chai Soh