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ICCV
2007
IEEE
16 years 3 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 5 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
TPDS
2008
122views more  TPDS 2008»
15 years 1 months ago
Nonmigratory Multiprocessor Scheduling for Response Time and Energy
Energy usage has been an important concern in recent research on online job scheduling, where processors are allowed to vary the speed dynamically so as to save energy whenever pos...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...
INFOCOM
2011
IEEE
14 years 4 months ago
Resource management for fading wireless channels with energy harvesting nodes
—Wireless systems comprised of rechargeable nodes have a significantly prolonged lifetime and are sustainable. A distinct characteristic of these systems is the fact that the no...
Omur Ozel, Kaya Tutuncuoglu, Jing Yang, Sennur Ulu...
ECCV
2010
Springer
15 years 6 months ago
Scene carving: Scene consistent image retargeting
Abstract. Image retargeting algorithms often create visually disturbing distortion. We introduce the property of scene consistency, which is held by images which contain no object ...