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HRI
2006
ACM
15 years 3 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
IUI
2003
ACM
15 years 2 months ago
A model of textual affect sensing using real-world knowledge
This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed k...
Hugo Liu, Henry Lieberman, Ted Selker
INFOCOM
1997
IEEE
15 years 1 months ago
A Near-Optimal Packet Scheduler for QoS Networks
A packet scheduler in a quality-of-service QoS network should be sophisticated enough to support stringent QoS constraints at high loads, but it must also have a simple implemen...
Dallas E. Wrege, Jörg Liebeherr
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PPOPP
1997
ACM
15 years 1 months ago
LoPC: Modeling Contention in Parallel Algorithms
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...
Matthew Frank, Anant Agarwal, Mary K. Vernon
AAAI
2008
14 years 12 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng