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point-to-point product computation of all features, the integral image computation of features, the integral image computation of products.
The covariance tracking algorithm is composed of three stages: 1. point-to-point product computation of all features, 2. the integral image computation of features, 3. the integral image computation of products. .
Theoretical considerations concerned the interrelation between number representation and storage requirements, as well as round-off errors arising in the computation of products [10].
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The model involves simulation of the molecular events occurring on the catalyst surface and permits computation of product distribution at different conversions.
The proof of the next proposition is a straightforward computation of matrix products.
The resulting value from this computation of inner products on the basis of a kernel function is referred to as a score, and a subsequent score-to-likelihood-ratio transformation is performed by using logistic regression calibration [14,22,23].
To training classifiers, they employ Stochastic Gradient Descent [9] with early stopping, reweighting data, regularization, step size and the computation of dot product is parallelized on 16 cores of their computer.
This paper investigates the computation of matrix product on both partially pipelined and fully pipelined modular linear arrays.
The update equations require the computation of the product and the convolution of the marginal probability density functions (pdfs) being passed in the graph.
With this initial setup, the (x, y, z) sampling has no impact on the computation of the product β x,y,z p12 x,y,z,t).
In particular, assuming conditional independence of the different sensor measurements given the state vector, a distributed particle filter (PF) normally requires the computation of a product of likelihood functions that depend on local data only[8].
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