In order to study the preferred skin color for printing images,two CMYK images from ISO 400 and one from iStock,including five skin color images of East Asian females was selected in this study.The images were adjuste...In order to study the preferred skin color for printing images,two CMYK images from ISO 400 and one from iStock,including five skin color images of East Asian females was selected in this study.The images were adjusted with the CMYK printing ink volume variation of the single,double and triple channels in the given 280%total ink limit conditions.A larger number of color vision normal observers were organized to carry out the color preference evaluation experiment,and the selected preferred skin colors were analyzed.The distribution range of the chromaticity values for skin color images were obtained and the results indicated that there are three regions for printing skin color preferences,and the observers have a memory preference for brighter,fairer skin colors in young female and a reddish skin colors in girl,which can provide the guidance for color adjustment of printed skin color images.展开更多
随着互联网技术的发展以及社交网络的扩大,网络平台已经成为人们获取信息的一个重要途径。标签的引入提升了信息分类及检索效率。同时,标签推荐系统的出现不仅方便了用户输入标签,还提高了标签的质量。传统的标签推荐算法通常只考虑标...随着互联网技术的发展以及社交网络的扩大,网络平台已经成为人们获取信息的一个重要途径。标签的引入提升了信息分类及检索效率。同时,标签推荐系统的出现不仅方便了用户输入标签,还提高了标签的质量。传统的标签推荐算法通常只考虑标签和项目两个主体,而忽略了用户在选择标签时个人意图所起到的重要作用。由于在标签推荐系统中标签最终由用户确定,因此用户的偏好在标签推荐中起着关键作用。为此,引入用户作为主体,并结合用户发布的历史帖子的先后顺序,将标签推荐任务建模为更加符合真实场景的序列标签推荐任务。提出了一种基于MLP的序列标签推荐方法(MLP for Sequential Tag Recommendation, MLP4STR),该方法显式地建模用户偏好用于引导整体标签推荐。MLP4STR采用一种跨特征对齐的MLP序列特征提取框架,将文本和标签的特征对齐,获取用户的历史帖子信息和历史标签信息中隐含的用户动态兴趣。最后,结合帖子内容和用户偏好进行标签推荐。在4个真实世界的数据集上得到的实验结果表明,MLP4STR能够有效地学习序列标签推荐中的用户历史行为序列的信息,其中,评价指标F1@5较最优的对比算法有显著提升。展开更多
文摘In order to study the preferred skin color for printing images,two CMYK images from ISO 400 and one from iStock,including five skin color images of East Asian females was selected in this study.The images were adjusted with the CMYK printing ink volume variation of the single,double and triple channels in the given 280%total ink limit conditions.A larger number of color vision normal observers were organized to carry out the color preference evaluation experiment,and the selected preferred skin colors were analyzed.The distribution range of the chromaticity values for skin color images were obtained and the results indicated that there are three regions for printing skin color preferences,and the observers have a memory preference for brighter,fairer skin colors in young female and a reddish skin colors in girl,which can provide the guidance for color adjustment of printed skin color images.
文摘随着互联网技术的发展以及社交网络的扩大,网络平台已经成为人们获取信息的一个重要途径。标签的引入提升了信息分类及检索效率。同时,标签推荐系统的出现不仅方便了用户输入标签,还提高了标签的质量。传统的标签推荐算法通常只考虑标签和项目两个主体,而忽略了用户在选择标签时个人意图所起到的重要作用。由于在标签推荐系统中标签最终由用户确定,因此用户的偏好在标签推荐中起着关键作用。为此,引入用户作为主体,并结合用户发布的历史帖子的先后顺序,将标签推荐任务建模为更加符合真实场景的序列标签推荐任务。提出了一种基于MLP的序列标签推荐方法(MLP for Sequential Tag Recommendation, MLP4STR),该方法显式地建模用户偏好用于引导整体标签推荐。MLP4STR采用一种跨特征对齐的MLP序列特征提取框架,将文本和标签的特征对齐,获取用户的历史帖子信息和历史标签信息中隐含的用户动态兴趣。最后,结合帖子内容和用户偏好进行标签推荐。在4个真实世界的数据集上得到的实验结果表明,MLP4STR能够有效地学习序列标签推荐中的用户历史行为序列的信息,其中,评价指标F1@5较最优的对比算法有显著提升。
