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IJCNN
2006
IEEE
14 years 1 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 8 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
ICPADS
2006
IEEE
14 years 1 months ago
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...
IMC
2004
ACM
14 years 1 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
DCOSS
2006
Springer
13 years 11 months ago
COTA: A Robust Multi-hop Localization Scheme in Wireless Sensor Networks
In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a rob...
Yawen Wei, Zhen Yu, Yong Guan