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» Modeling Learners as Individuals and as Groups
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
15 years 10 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
15 years 4 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
IJCAI
2007
14 years 11 months ago
Emergence of Norms through Social Learning
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...
Sandip Sen, Stéphane Airiau
78
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IJSR
2010
107views more  IJSR 2010»
14 years 8 months ago
Multi-model Hypothesis Group Tracking and Group Size Estimation
Abstract— People in densely populated environments typically form groups that split and merge. In this paper we track groups of people so as to reflect this formation process an...
Boris Lau, Kai Oliver Arras, Wolfram Burgard
CONNECTION
2002
82views more  CONNECTION 2002»
14 years 9 months ago
A model of absolute autonomy and power: toward group effects
We present a model of absolute autonomy and power in agent systems. This absolute sense of autonomy captures the agent's liberty over an agent's preferences. Our model ch...
Henry Hexmoor