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» Learning from sensor network data
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187
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PAMI
2007
186views more  PAMI 2007»
15 years 2 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
PERCOM
2004
ACM
16 years 2 months ago
An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces
Large sensor networks in applications such as surveillance and virtual classrooms, have to deal with the explosion of sensor information. Coherent presentation of data coming from...
Shichao Ou, Deepak R. Karuppiah, Andrew H. Fagg, E...
123
Voted
IJSR
2010
181views more  IJSR 2010»
15 years 1 months ago
Multi-Part People Detection Using 2D Range Data
People detection is a key capacity for robotics systems that have to interact with humans. This paper addresses the problem of detecting people using multiple layers of 2D laser ra...
Óscar Martínez Mozos, Ryo Kurazume, ...
JMLR
2010
88views more  JMLR 2010»
14 years 9 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
ICASSP
2008
IEEE
15 years 9 months ago
Assessing the challenges of environmental signal processing through the sensorscope project
SensorScope is a collaborative project between network, signal processing, and environmental researchers that aims at providing a cheap and out-of-the-box environmental monitoring...
Guillermo Barrenetxea, François Ingelrest, ...