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2, we provide the problem description and the proposed mathematical model.
In Section 2, we provide the problem statement and review the CRB protocol.
We now provide the problem formulations using EPPR approximation for NZPOR and ZPOR respectively given as min F ̄ N ( s 1 ) s. t.
First, we provide the problem definition of the basic RBF network and then present the incremental learning algorithm for constructing RBF hidden neurons.
Whereas worked-out examples consist of a problem formulation, solution steps, and the final solution, solved example problems merely provide the problem formulation and the solution.
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Section 2 provides the problem formulation.
The remainder of this paper is organized as follows: Section 2 provides the problem formulation.
Section 2 provides the problem statement for describing the statistics behavior of ultrasound images and related parameter estimation methods.
Organization: Section 2 provides the problem formulation, Section 3 provides a brief introduction to the topic of robust estimation of class centroid and covariance.
NFS provided the problem statement, supervised the development of the computational methodology, and provided suggestions on methodology validation.
NFS provided the problem statement, supervised the developement of the computational methodology, and provided suggesstions on methodology validation.
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