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AAAI
1998
13 years 9 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
AAAI
2006
13 years 9 months ago
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking
The ability to accurately detect the location of a mobile node in a sensor network is important for many artificial intelligence (AI) tasks that range from robotics to context-awa...
Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Y...
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 2 months ago
Detecting Separation in Robotic and Sensor Networks
In this paper we consider the problem of monitoring detecting separation of agents from a base station in robotic and sensor networks. Such separation can be caused by mobility an...
Chenda Liao, Harshavardhan Chenji, Prabir Barooah,...
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
13 years 2 months ago
Deployment of an unreliable robotic sensor network for spatial estimation
This paper studies an optimal deployment problem for a network of robotic sensors moving in the real line. Given a spatial process of interest, each individual sensor sends a pack...
Jorge Cortes
KI
2007
Springer
14 years 1 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox