Sentence examples for category objects from inspiring English sources
Mammalian pheromones, audiomones, visuomones, and snarks Richard Doty argues that they all belong in the same category: objects of imagination.
Along with specific gender preferences, Whiplr separates itself by allowing you to announce your kinks via category (objects, shopping, odors) and filter potential partners by body type and whether they have a partner, sort of like filtering which Italian restaurants serve Caesar salads on Seamless.
This was found across all stimulus categories as well as for the preferred category (objects in object-selective cortex and faces in face-selective cortex).
To avoid influencing respondents' opinions, we did not specify geographical characteristics such as landscape category, object, or survey area.
Thus once grammatical categories are distinguished, enabling us to thereby distinguish the logical category object by reference to the linguistic category of proper name, we can go on to draw out category distinctions among objects.
We analysed responses to the singly presented choice stimuli illustrated in Fig. 1A, examining selectivity for behavioural category, object identity and stimulus location.
Pictures fell into 9 distinct categories (objects, nudes/sex, sports, disasters, food, kids/pets, nature, violence/war, and drug paraphernalia), with nine pictures per category (N = 81 items in total).
At 400 ms, representational similarity was higher for same-category than different-category objects (right panel, p = 5 × 10−7).
This allows us to determine if the SemFeat model can still classify between- and within-category objects, even when all the variance that can be accounted for by the HMax model has been removed.
In this paper, we describe a dialogue approach and a dynamic object model for learning semantic categories, object descriptions, and new words acquisition for object learning and integration with visual perception for grounding objects in the real world.
The functions in MORT can be roughly divided into two categories: object-related and property-related.
