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» Quantizing Density Estimators
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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 ...
MOC
2002
104views more  MOC 2002»
13 years 7 months ago
Numerical calculation of the density of prime numbers with a given least primitive root
In this paper the densities D(i) of prime numbers p having the least primitive root g(p) = i, where i is equal to one of the initial positive integers less than 32, have been numer...
A. Paszkiewicz, Andrzej Schinzel

Publication
252views
13 years 11 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
ICIP
2001
IEEE
14 years 9 months ago
Hierarchical watermarking depending on local constraints
In this paper we propose a new watermarking technique where the watermark is embedded according to two keys. The first key is used to embed a code bit in a block of pixels. The se...
Christopher D. Coltman, Adrian G. Bors
SIAMCO
2010
115views more  SIAMCO 2010»
13 years 2 months ago
Identification of Hammerstein Systems with Quantized Observations
This work is concerned with identification of Hammerstein systems whose outputs are measured by quantized sensors. The system consists of a memoryless nonlinearity that is polynomi...
Yanlong Zhao, Ji-Feng Zhang, Le Yi Wang, Gang Geor...