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» Randomness, Stochasticity and Approximations
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IPSN
2004
Springer
15 years 11 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
152
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IWCIA
2004
Springer
15 years 11 months ago
A Comparison of Property Estimators in Stereology and Digital Geometry
We consider selected geometric properties of 2D or 3D sets, given in form of binary digital pictures, and discuss their estimation. The properties examined are perimeter and area i...
Yuman Huang, Reinhard Klette
MSE
2002
IEEE
198views Hardware» more  MSE 2002»
15 years 10 months ago
BSS: A New Approach for Watermark Attack
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
Jiang Du, Choong-Hoon Lee, Heung-Kyu Lee, Young-Ho...
NLPRS
2001
Springer
15 years 10 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
INFOCOM
2000
IEEE
15 years 10 months ago
Optimal Streaming of Layered Video
Abstract—This paper presents a model and theory for streaming layered video. We model the bandwidth available to the streaming application as a stochastic process whose statistic...
Despina Saparilla, Keith W. Ross