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DAGM
2009
Springer
16 years 1 months ago
Optimal Parameter Estimation with Homogeneous Entities and Arbitrary Constraints
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
Jochen Meidow, Wolfgang Förstner, Christian B...
ECSQARU
2009
Springer
16 years 1 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
CEC
2008
IEEE
16 years 1 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
ICASSP
2008
IEEE
16 years 1 months ago
Nonlinear residual acoustic echo suppression for high levels of harmonic distortion
Linear adaptive filters are often used for Acoustic Echo Cancellation (AEC) but sometimes fail to perform well in notebook computers and inexpensive telephony devices. Low-qualit...
Diego A. Bendersky, Jack W. Stokes, Henrique S. Ma...
ICCCN
2008
IEEE
16 years 1 months ago
Impairment-Aware Manycast Algorithms over Optical Burst-Switched Networks
— We discuss the effect of physical impairments on manycasting service over optical burst-switched (OBS) networks. Signal quality degradation in manycast networks is an important...
Balagangadhar G. Bathula, Rajesh R. C. Bikram, Vin...
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