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» Online Learning of Non-stationary Sequences
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LION
2010
Springer
190views Optimization» more  LION 2010»
13 years 11 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
COLT
2007
Springer
14 years 1 months ago
Regret to the Best vs. Regret to the Average
Abstract. We study online regret minimization algorithms in a bicriteria setting, examining not only the standard notion of regret to the best expert, but also the regret to the av...
Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, ...
ECCV
2010
Springer
14 years 12 days ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
13 years 11 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
ACSAC
2010
IEEE
13 years 5 months ago
Defending DSSS-based broadcast communication against insider jammers via delayed seed-disclosure
Spread spectrum techniques such as Direct Sequence Spread Spectrum (DSSS) and Frequency Hopping (FH) have been commonly used for anti-jamming wireless communication. However, trad...
An Liu, Peng Ning, Huaiyu Dai, Yao Liu, Cliff Wang