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AAAI
2008
15 years 6 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
140
Voted
CVIU
2010
138views more  CVIU 2010»
15 years 3 months ago
Probabilistic structure matching for visual SLAM with a multi-camera rig
We propose to use a multi-camera rig for simultaneous localization and mapping (SLAM), providing flexibility in sensor placement on mobile robot platforms while exploiting the str...
Michael Kaess, Frank Dellaert
116
Voted
ICMCS
2006
IEEE
119views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Towards an Efficient Integration, Structure and Exploration of Landscape Architecture Project Information
Landscape Architecture projects have many specific requirements such as particular multimedia and geographic data integration and structure, information preview, userfriendly inte...
Franck Favetta, Robert Laurini
109
Voted
P2P
2005
IEEE
15 years 9 months ago
Heterogeneity-Aware Distributed Access Structure
Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralised, resource-sharing environments such as Grids an...
Alejandra González Beltrán, Peter Mi...
NIPS
2000
15 years 5 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths