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ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 4 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
MST
2010
155views more  MST 2010»
15 years 1 months ago
Stochastic Models and Adaptive Algorithms for Energy Balance in Sensor Networks
We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
Pierre Leone, Sotiris E. Nikoletseas, José ...
MM
2004
ACM
88views Multimedia» more  MM 2004»
15 years 12 months ago
A general framework for multidimensional adaptation
Data adaptation is an essential system component in a wide variety of application areas. To date, most applications use ad hoc methods to manage data in response to limited resour...
David Gotz, Ketan Mayer-Patel
ANOR
2006
174views more  ANOR 2006»
15 years 6 months ago
Evaluation of choice set generation algorithms for route choice models
This paper discusses choice set generation and route choice model estimation for large-scale urban networks. Evaluating the effectiveness of Advanced Traveler Information Systems (...
Shlomo Bekhor, Moshe E. Ben-Akiva, M. Scott Rammin...
DASFAA
2007
IEEE
151views Database» more  DASFAA 2007»
15 years 8 months ago
The Tornado Model: Uncertainty Model for Continuously Changing Data
To support emerging database applications that deal with continuously changing (or moving) data objects (CCDOs), such as vehicles, RFIDs, and multi-stimuli sensors, one requires an...
Byunggu Yu, Seon Ho Kim, Shayma Alkobaisi, Wan D. ...