Chinese characters that are similar in their pronunciations or in their internal structures are useful for computer-assisted language learning and for psycholinguistic studies. Although it is possible for us to employ imagebased methods to identify visually similar characters, the resulting computational costs can be very high. We propose methods for identifying visually similar Chinese charact...

Abstract This article is about the role of factual uncertainty for moral decision-making as it concerns ethics machine (i.e., decisions by AI systems, such autonomous vehicles, robots, or decision support systems). The view that defended here uncertainties require a normative evaluation and faces triple-edged problem, which what ought to do, given its technical constraints, decisional acceptabl...

In this paper two methods for selecting input features for a neural network used to aid iconic retrieval in an image database are presented and compared. The rst method involves training the network on all the feature inputs and then analysing the weight values in an attempt to nd the more important input features. The second borrows a method from statistical feature selection known as the sequ...

in this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. this technique uses synchronized phasors measured by phasor measurement units (pmus) in a wide-area measurement system. in order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

We examined the relation between the emergence of visual selection mechanisms and object perception in infancy. Twenty-two 3-month-old infants participated in both a perceptual completion and a visual search task. In the perceptual completion task, infants were habituated to a partly occluded moving rod and subsequently viewed unoccluded broken and complete rod test stimuli. We presented the sa...