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» A General Method for Feature Matching and Model Extraction
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WWW
2010
ACM
14 years 3 months ago
Equip tourists with knowledge mined from travelogues
With the prosperity of tourism and Web 2.0 technologies, more and more people have willingness to share their travel experiences on the Web (e.g., weblogs, forums, or Web 2.0 comm...
Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 1 months ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky
AMFG
2007
IEEE
238views Biometrics» more  AMFG 2007»
14 years 24 days ago
Towards Pose-Invariant 2D Face Classification for Surveillance
A key problem for "face in the crowd" recognition from existing surveillance cameras in public spaces (such as mass transit centres) is the issue of pose mismatches betwe...
Conrad Sanderson, Ting Shan, Brian C. Lovell
JFR
2006
140views more  JFR 2006»
13 years 8 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...
SAC
2005
ACM
14 years 2 months ago
LighTS: a lightweight, customizable tuple space supporting context-aware applications
The tuple space model inspired by Linda has recently been rediscovered by distributed middleware. Moreover, some researchers also applied it in the challenging scenarios involving...
Gian Pietro Picco, Davide Balzarotti, Paolo Costa