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» Evaluating the Robustness of Learning from Implicit Feedback
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BMVC
2010
13 years 5 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICML
2009
IEEE
14 years 8 months ago
Interactively optimizing information retrieval systems as a dueling bandits problem
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
Yisong Yue, Thorsten Joachims
GROUP
2005
ACM
14 years 1 months ago
Follow the (slash) dot: effects of feedback on new members in an online community
Many virtual communities involve ongoing discussions, with large numbers of users and established, if implicit rules for participation. As new users enter communities like this, b...
Cliff Lampe, Erik W. Johnston
INFOCOM
2009
IEEE
14 years 2 months ago
An Experimental Evaluation of Rate Adaptation for Multi-Antenna Systems
—Increasingly wireless networks use multi-antenna nodes as in IEEE 802.11n and 802.16. The Physical layer (PHY) in such systems may use the antennas to provide multiple streams o...
Wonsoo Kim, O. Khan, Kien T. Truong, Soon-Hyeok Ch...
ICPR
2008
IEEE
14 years 8 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...