A HIERARCHICAL CLUSTERING APPROACH TO IDENTIFY REPEATED ENROLLMENTS IN WEB SURVEY DATA.


Non-Local and Multi-Scale Mechanisms for Image Inpainting

Recently, deep learning-based techniques have shown great power in image inpainting especially dealing with squared holes.However, they fail to generate plausible results inside the missing regions for irregular and large holes as there is a lack of understanding between missing regions and existing counterparts.To overcome this limitation, we comb

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PEMIKIRAN ISLAM KONTEMPORER DALAM BENTURAN BUDAYA

This article presents how contemporary Islamic thought which has been tr ying to find a breakthrough in order to improve the quality of life of the Muslims, then collide with a culture that has been attached to the public, the results of a long legacy of their P02 predecessors.This phenomenon which occurred in Indonesia, because the Indonesian arch

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Animacy, Motion, Emotion and Empathy in Visual Music: Enhancing appreciation of abstracted animation through wordless song

This paper will discuss the exploration of key musical and visual parameters with the aim of enhancing the appreciation of Abstracted Animation [1] GREY HAIR TREATMENT with varying degrees of animacy.A series of animations were created in response to multiple, wordless, sung, close variations of a Eye Palette song.Carefully delineated, visual param

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Exploring the Influence of Neighborhood Characteristics on Burglary Risks: A Bayesian Random Effects Modeling Approach

A Bayesian random effects modeling approach was used to examine the influence of neighborhood characteristics on burglary risks in Jianghan District, Wuhan, China.This random effects model is essentially spatial; a spatially structured random effects term and an unstructured random effects term Pest control are added to the traditional non-spatial

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