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AAAI
2008
14 years 12 days 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
CVIU
2010
138views more  CVIU 2010»
13 years 10 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
NIPS
2000
13 years 11 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
ACSAC
2004
IEEE
14 years 1 months ago
Vulnerabilities and Security Threats in Structured Overlay Networks: A Quantitative Analysis
1 A number of recent applications have been built on distributed hash tables (DHTs) based overlay networks. Almost all DHT-based schemes employ a tight deterministic data placement...
Mudhakar Srivatsa, Ling Liu
JCIT
2007
133views more  JCIT 2007»
13 years 10 months ago
Reused Page Management for Log-Structured Flash Storage Systems
Recently, a flash memory has become a major database storage in building portable information devices because of its non-volatile, shock-resistant, power-economic nature, and fast...
Changbae Roh, Siwoo Byun