Sentence examples for representation and selection from inspiring English sources
In our method, we take advantage of these patterns in the representation and selection of patches.
In order to minimize possible discontinuities between adjacent blocks, the proper representation and selection of such pieces become key issues.
It makes use of an extendable class library of models and filters for data representation and selection.
Recent approaches for static texture synthesis have proposed the use of structural features [10, 14], thereby preserving the texture appearance by improving the representation and selection of patches.
To our knowledge, there are no synthesis methods of dynamic texture that explore the use of features that consider structure, appearance, and motion for the patch representation and selection.
Nonetheless, previous studies showed that stereoscopic-viewing supports the segmentation of objects at different depths [Finlayson et al., 2013], which can facilitate the representation and selection of objects in complex 3D scenes [Lee and Saunders, 2011; Valsecchi et al. 2013].
On the other hand, the undertaken numerical approach relies on accurate terrain representation and mesh selection, which also affects significantly the computational cost of the simulations.
The images were then converted to binary representation, and "Create Selection" function was applied to outline the tissue sections and create regions of interest which excluded tumor areas and spaces not occupied by cells.
The article addresses various facets of the detection challenge, including: file representation and feature selection methods, classification algorithms, weighting ensembles, as well as the imbalance problem, active learning, and chronological evaluation.
With the above feature representation and feature selection methods, we are now ready to build a classifier using the given confirmed disease gene set P and unlabeled gene set U. We call our proposed algorithm PUDI.
Applying linear discriminant analysis to data derived from a variety of molecular representations and feature selection algorithms, reliable QSAR models were built which could be used to predict for test compounds the inhibitory activity and selectivity toward human MAO.
