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» Using Bayesian Networks to Model Agent Relationships
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ICCV
2007
IEEE
15 years 12 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ECSCW
2003
14 years 11 months ago
Discovery of Implicit and Explicit Connections Between People Using Email Utterance
This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive stance...
Robert McArthur, Peter Bruza
ICRA
2009
IEEE
185views Robotics» more  ICRA 2009»
15 years 4 months ago
Ad-hoc wireless network coverage with networked robots that cannot localize
— We study a fully distributed, reactive algorithm for deployment and maintenance of a mobile communication backbone that provides an area around a network gateway with wireless ...
Nikolaus Correll, Jonathan Bachrach, Daniel Vicker...
IJCNN
2008
IEEE
15 years 4 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
PERCOM
2005
ACM
15 years 9 months ago
Hybrid Context Model Based on Multilevel Situation Theory and Ontology for Contact Centers
Context awareness and context modeling have raised their call for attention and importance quite recently in the world of contact centers for better customer services and relation...
Anupama Kalyan, Srividya Gopalan, V. Sridhar