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 (dĭ-skrĭm′ə-nā′tĭv, -nə-tĭv)
1. Drawing distinctions.
2. Marked by or showing prejudice: discriminative hiring practices.

dis·crim′i·na′tive·ly adv.
References in periodicals archive ?
Ramanan, "Object detection with discriminatively trained part-based models," IEEE transactions on pattern analysis and machine intelligence, vol.
The effective observation models are constructed based on the learned multi life span dictionary for both generatively and discriminatively.
Discriminatively embedded k-means for multi-view clustering.
A discriminatively trained, multiscale, deformable part model.
After a brief adjournment, the panel accepted that PC Houldey had said the remarks but did not act discriminatively and did not mean it in a racist way.
Object Detection with Discriminatively Trained Part Based Models," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.
We had full embedded training of sequences in the '90's but now we train these discriminatively from scratch, minimising the bias towards learning the language model within the acoustic model; something that is problematic in many deep models such as Connectionist Temporal Classification.
Ramanan, "A discriminatively trained, multiscale, deformable part model," in Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR '08), pp.
These six aforementioned schemes discriminatively compress and amplify the variation region of similarity between the current pixel and context pixels in the two dimensions of horizontal and vertical orientation to some extent.
As atmospheric levels of CO2 continue to rise, the application doses of herbicide should be discriminatively adjusted for control of weeds with different susceptibilities to herbicides.
He said that no any member of the council would be treated discriminatively adding that education and health sectors were his top priority.
These employers must also ensure that their disability policies are enforced uniformly to avoid arguments that the employer applied policies selectively and discriminatively to employees who have disabilities like cancer, HIV/AIDS, glaucoma or multiple sclerosis, since these employees are often treated with medical marijuana.