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When (theta ) is small, the best solution is not on the search line specified by the weight vector, as shown in Fig. 10a.
When (theta ) is large, the optimal solution is obtained on the search line specified by the weight vector, as shown in Fig. 10b, c.
The root model describes the overall characteristics of the target, and the part model describes the local detail features of the target; the relationship between the parts and between the part and the whole is not fixed but is adaptively adjusted by the weight vector so that the model can be deformed to adapt to accurate detection of different shape and posture targets.
Furthermore, the total consumed power to form a virtual MIMO link becomes a function of the transmitted power in the reverse link P t, and how this is distributed between the mobile and the relay stations, which is defined by the weight vector, w, when implementing spatial diversity and by the water filling coefficients ζ i, i=1,2,…,J, for the spatial multiplexing case.
The wrapper method we describe in this paper focuses on estimating a relevance distribution encoded by the weight vector; such a distribution becomes instrumental in the selection of significant variables.
SVM-RFE first removes the smallest sorting coefficient feature which is constructed by the weight vector according to the SVM training result, then the rest features will be retrained through SVM to obtain the new sorting coefficient.
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The weighted cost Z ̄ (scaler) is defined by using the weight vector λ, as Z ̄ = ℤ ^ λ = ℤ ^ λ 0 λ 1 ⋯ λ ℓ map - 2 λ ℓ map - 1 t.
By varying the weight vector, this method gives rise to different Pareto optimal solution.
Thus, the parameter vector estimated by applying the weight vector to the matched filtering the received signal in all subarrays, and hence, the true target location can be discriminated from other unwanted signals in the peak of the beamforming output.
By adjusting the weight vector, it is guaranteed that the equivalent SNRs of R-D links are greater than the ones of S-R links, such that the delays can be decreased evidently.
Maximizing SNR can be accomplished by choosing the weight vector w t that maximizes the quadrature form w t H H D H H D w t subject to the constraint w t H w t = 1.
More suggestions(16)
by the routing vector
by the gravity vector
by the shRNA vector
by the control vector
by the insect vector
by the galactic vector
by the weight change
by the force vector
by the degree vector
by the manufacturer vector
by the pathway vector
by the support vector
by the weight room
by the row vector
by the search vector
by the unit vector
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com