Image completion is one of the subjects in image and video processing which deals with restoration of and filling in damaged regions of images using correct regions. Exemplar-based image completion methods give more pleasant results than pixel-based approaches. In this paper, a new algorithm is proposed to find the most suitable patch in order to fill in the damaged parts. This patch selection ...

image completion is one of the subjects in image and video processing which deals with restoration of and filling in damaged regions of images using correct regions. exemplar-based image completion methods give more pleasant results than pixel-based approaches. in this paper, a new algorithm is proposed to find the most suitable patch in order to fill in the damaged parts. this patch selection ...

The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field integrated care on a continuous basis.IJIC has Impact Factor 2.913 (2021 JCR, received June 2022)The IJIC 20th Anniversary Issue was published 2021.

One category structure dominated in the shift toward exemplar-based theories of categorization. Given the theoretical burden on this category structure, the authors reanalyzed 30 of its uses over 20 years in 8 articles. The authors suggest 4 conclusions. (a) This category structure may encourage exemplar-memorization processes because of its poor structure, the learning difficulties it causes, ...

In the last ten years or so, exemplar theory has enjoyed much growth in the field of phonetics. More recently, attempts have been made to apply exemplar theory to syntactic phenomena. Thus far, the issue of unifying phonetic and syntactic exemplar-theoretic models has not been addressed. This paper presents a single overarching exemplar-based model of constituent interactions across both lingui...

Exemplar theory was motivated by research that often used D. L. Medin and M. M. Schaffer's (1978) 5/4 stimulus set. The exemplar model has seemed to fit categorization data from this stimulus set better than a prototype model can. Moreover, the exemplar model alone predicts a qualitative aspect of performance that participants sometimes show. In 2 experiments, the authors reexamined these findi...

Adaptive network and exemplar-similarity models were compared on their ability to predict category learning and transfer data. An exemplar-based network (Kruschke, 1990a, 1990b, 1992) that combines key aspects of both modeling approaches was also tested. The exemplar-based network incorporates an exemplar-based category representation in which exemplars become associated to categories through t...

Erickson and Kruschke (1998) provided a demonstration that in certain situations people will classify novel stimuli according to an extrapolated rule, even when the most similar training exemplar is an exception to the rule. This result challenged exemplar models. Nosofsky and Johansen (2000) have called this finding into question by offering an exemplar-based explanation for those data based o...