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» When Can Formal Methods Make a Real Difference
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118
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IRI
2007
IEEE
15 years 9 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
ROMAN
2007
IEEE
134views Robotics» more  ROMAN 2007»
15 years 9 months ago
Learning Reward Modalities for Human-Robot-Interaction in a Cooperative Training Task
—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...
Anja Austermann, Seiji Yamada
139
Voted
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 4 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
147
Voted
CIKM
2006
Springer
15 years 7 months ago
Evaluation by comparing result sets in context
Familiar evaluation methodologies for information retrieval (IR) are not well suited to the task of comparing systems in many real settings. These systems and evaluation methods m...
Paul Thomas, David Hawking
196
Voted
MOBISYS
2009
ACM
16 years 4 months ago
EnTracked: energy-efficient robust position tracking for mobile devices
An important feature of a modern mobile device is that it can position itself. Not only for use on the device but also for remote applications that require tracking of the device....
Mikkel Baun Kjærgaard, Jakob Langdal, Torben...