We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of group substructures in batching mode. The key idea is to transfer user modifications on local substructure other the entire graph are topologically similar exemplar. first precompute canonical representation each with node embedding techniques then use it on-the-fly r...

Exemplar-based colorization approaches rely on reference image to provide plausible colors for target gray-scale image. The key and difficulty of exemplar-based is establish an accurate correspondence between these two images. Previous have attempted construct such a but are faced with obstacles. First, using luminance channel the calculation inaccurate. Second, dense they built introduces wron...

Previous studies have suggested that individuals use both implicit and explicit, as well as rule and exemplar-based knowledge, to make grammaticality judgments in artificial grammar learning (AGL) tasks. Experiment 1 explored the importance of explicit mechanisms in the learning of exemplar and rule-based information by using a dual-task during AGL training. We utilized a balanced chunk strengt...

During visual object categorisation, a match must be found between the input image and stored information about basic-level categories. Graf [2002 Form, Space and Object (Berlin: Wissenschaftlicher Verlag Berlin)] suggested the involvement of analogue transformational, shape-changing processes in aligning the memory representation of the category with the perceptual representation of the curren...

It is widely held that people use multiple strategies to categorize their experiences in the world. We conducted a pair of neuroimaging experiments to identify the neural correlates of two of these strategies--rule application and exemplar similarity. Participants were instructed to perform either a rule- or an exemplar-based categorization task while changes in cerebral blood flow were measure...