Results 11 to 20 of about 169,753,816 (340)
Procedural-based category learning in patients with Parkinson's disease: impact of category number and category continuity [PDF]
Previously we found that Parkinson's disease (PD) patients are impaired in procedural-based category learning when category membership is defined by a nonlinear relationship between stimulus dimensions, but these same patients are normal when the rule is defined by a linear relationship (Maddox and Filoteo, 2001; Filoteo et al., 2005a,b).
Filoteo, J. Vincent, Maddox, W. Todd
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The Grammaticization of Number as a Verbal Category
Proceedings of the Twelfth Annual Meeting of the Berkeley Linguistics Society (1986), pp.
M. Durie
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CATEGORY OF NUMBER IN UDIHE [PDF]
A. A. Sagaydachnaya
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The category of Number in Basque: I. Synchronic and historical aspects [PDF]
This is the first half of an article in which all sectors of Basque morpho -logy with some overt opposition for grammatical number are synchronically and diachronically analyzed. This opposition presents different values across lexical categories: sg. /
Mikel Martínez Areta
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The category of Number in Basque: II. Prehistorical and typological aspects [PDF]
In this second and last part of the article about the grammatical number in Basque, it is discussed what the state of affairs in prehistorical periods may have been like, taking historical data as a starting point. In Point 3, the different sectors of
Mikel Martínez Areta
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On the Category of Number in the Burmese Language
Shiro Yabu
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q-deformed rational numbers and the 2-Calabi–Yau category of type $A_{2}$ [PDF]
We describe a family of compactifications of the space of Bridgeland stability conditions of a triangulated category, following earlier work by Bapat, Deopurkar and Licata.
Asilata Bapat +2 more
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Generalized Category Discovery [PDF]
In this paper, we consider a highly general image recognition setting wherein, given a labelled and unlabelled set of images, the task is to categorize all images in the unlabelled set.
S. Vaze +3 more
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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction [PDF]
Traditional approaches for learning 3D object categories have been predominantly trained and evaluated on synthetic datasets due to the unavailability of real 3D-annotated category-centric data.
J. Reizenstein +5 more
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Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery [PDF]
In this paper, we address the problem of generalized category discovery (GCD), i.e., given a set of images where part of them are labelled and the rest are not, the task is to automatically cluster the images in the unlabelled data, leveraging the ...
Bingchen Zhao, Xin Wen, Kai Han
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