Sentence examples for data factorization methods from inspiring English sources

At this point, it is also important to motivate the use of PCA over other data factorization methods.

Future work will focus on the extensions of the proposed methods to different data factorization approaches such as the ICA.

In the worst case of non-branching data, our algorithm compares favorably to current factorization methods.

Non-parametric data reduction methods, on the other hand, include data-driven multivariate component analysis such as the application of matrix factorization methods to time-frequency distributions.

Finally, note that the most important difference between NMF and other matrix factorization methods, such as SVD, is that the data is described by using additive components only.

The Householder and Givens QR factorization methods are backward stable.

Experiments on publicly available large-scale datasets using vocabularies from linked open data and a taxonomy from WordNet show that SSTF has up to 12% higher accuracy in comparison with state-of-the-art tensor factorization methods.

To reduce the number of these parameters, three different factorization methods are employed and compared.

All approximations were given fast algorithms based on matrix factorization methods.

In this section, we formulate the problem of multi-variants data factorization within the framework of complex data decomposition.

Quarteroni, F. Saleri, A. Veneziani, Factorization methods for the numerical approximation of Navier Stokes equations Comput.