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» Using Bayesian Networks to Model Agent Relationships
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PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
IAT
2008
IEEE
14 years 2 months ago
Social and Personal Context Modeling for Contact List Recommendation on Mobile Device
This paper presents a social and personal context modeling method on mobile device. It infers user’s contexts, such as amity with others and emotional state, from uncertain logs...
Jun-Ki Min, Hee-Taek Kim, Sung-Bae Cho
SKG
2005
IEEE
14 years 1 months ago
Relation Grid: A Social Relationship Network Model
In this paper, a social network model based on real social relationships, referred as Relation Grid, is proposed. Relation grid is isomorphic to the actual social network; hence it...
Jiaxing Song, Weidong Liu, Shaoyu Chen
PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 1 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio