… In addition, if our goal is to incorporate attribute parameterization in ranking, the final score in
its … This suggests that there is a large room for improvement for these long-tail queries, if we …

… This suggests a proper way to focus on some overlooked object regions by making use of
… an attribute parameterization module to incorporate the online refinement of these attributes …

… , they should have a compatible parameterization: that is, they … in LMA means that our
parameterization is grounded in … Another choice would be to use a parameterization based on …

… A classifier fit post-hoc and trained from scratch, parameterized … recover attribute information
from the ”distengeled” content representation learned via adversarial training. This suggests …

… Second we introduce parameterized attribute reduction with the derived model of fuzzy
rough sets. Structures of attribute reduction are investigated and an algorithm with discernibility …

… We suggest using some function of the accuracy values achieved by a number of
classifiers as the “gold standard” of hardness. While there are many ways to define a suitable …

… Until now, the standard has not been capable of exchanging models with parameterization
… It provides the capability to associate explicitly represented parameterization and constraint …

… tags to a target object by suggesting keywords that are related to its content, thus … suggesting
relevant tags to a target object, that is, suggesting tags that are related to the object’s content…

… both the template and the component objects using parameterized level-based and size-based …
We also suggest using XML to describe the reply for multiple objects (see Fig. 10). The …

… framework for building parameterized design tools for high … exploration of highdimensional
parameterized design spaces, … framework for creating parameterized design tools that guide …