Sentence examples for soft traits from inspiring English sources

Furthermore, the increasing accumulation of worldwide data sets on species' core and soft traits (surrogates to determine core traits indirectly) on one side and the refinement of conceptual frameworks for animal functional types on the other side will further improve functional type approaches which consider the sensitivities of multiple species to climate change, habitat loss, and fragmentation.

References Benoit, J., Manger, P. and Rubidge, B.S. 2016 Palaeoneurological clues to the evolution of defining mammalian soft tissue traits.

This paper presents a detailed study about different algorithmic configurations for estimating soft biometric traits.

The study of algorithms investigating soft biometric traits has attracted considerable interest in the last two decades.

One reason is that false matches are more likely between faces of people sharing the same soft biometric traits.

Furthermore, Dantcheva et al. [9] bring to the fore that, under certain conditions, a biometric system may be composed of only a vector of different soft biometric traits.

To fill this gap, in this paper, a detailed study about different algorithmic configurations for estimating soft biometric traits is presented.

Researches have demonstrated that the overall performance of these recognition systems significantly improves upon the inclusion of "soft" biometric traits in addition to the conventional primary biometric modalities.

Soft biometric traits such as skin color, tattoos, shoe size, height, and weight have been regularly used for forensic investigation, especially when hard biometric traits, e.g., faces and fingerprints are not available.

Hence, a reliable representation of all of the patient's dental, skeletal, and soft tissue traits that could possibly swing the pendulum towards one of the two possible treatment modalities was achieved.

In the last few decades, computer vision, as well as other information science fields, have largely investigated the problem of the automatic estimation of the main soft biometric traits by means of mathematical models and ad hoc coding of the visual images.