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IR
2006
13 years 7 months ago
A study of mixture models for collaborative filtering
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Rong Jin, Luo Si, Chengxiang Zhai
JFR
2006
140views more  JFR 2006»
13 years 7 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
NC
2008
122views Neural Networks» more  NC 2008»
13 years 7 months ago
Computation with finite stochastic chemical reaction networks
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions...
David Soloveichik, Matthew Cook, Erik Winfree, Jeh...
PR
2008
144views more  PR 2008»
13 years 7 months ago
Gesture spotting for low-resolution sports video annotation
Human gesture recognition plays an important role in automating the analysis of video material at a high level. Especially in sports videos, the determination of the player's...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
SCN
2008
Springer
147views Communications» more  SCN 2008»
13 years 7 months ago
Privacy-preserving secure relative localization in vehicular networks
Relative location information helps build vehicle topology maps. Such maps provide location information of nearby vehicles to drivers. In building a vehicle topology, one must cons...
Lei Tang, Xiaoyan Hong, Phillip G. Bradford